tag:blogger.com,1999:blog-30318788980968533232024-03-05T04:21:47.989-08:00Hook AnalyserA Freeware Malware Analysis and Cyber Threat Intelligence Software.Unknownnoreply@blogger.comBlogger30125tag:blogger.com,1999:blog-3031878898096853323.post-36996563188559082682016-11-19T21:00:00.001-08:002016-11-19T21:20:43.720-08:00Hook Analyser 3.4 Released (with Machine Learning Capability)Readers,<br />
<br />
Firstly, I want to thank the loyal users of the Hook Analyser project.<br />
<br />
It's been a while since I released a new version. There are few reasons for the delay, predominantly, trying to add new capabilities to the tool.<br />
<br />
For the last few months, I have been focused on the Machine Learning (ML) capability - trying to find ways to leverage it within the malware analysis and threat intelligence space. Specifically, identifying methods to prepare an algorithm using defined features and classifiers (for malware analysis), training the algorithms using "training data" and predicting new datasets.<br />
<br />
As a result, I'm glad to say that this release has that capability, and will help you to classify a file as malware or clean file quickly!<br />
<br />
Here is an example -<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiwU_n6UCi2lrUEr7-Hst9nUYGX68bSJOhbaE4HAVc8F2WrdMQV8JwihIm6qGMPU_Y_UVOQzx-Gv50pAN8Lj447FSWkOqzghgKOUp3Xrren54OMM5IPw7Gd2vVcBwhVyjjCwG-8FE67vfc/s1600/Hook+Analyser+3.4+-+Machine+Learning.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="21" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiwU_n6UCi2lrUEr7-Hst9nUYGX68bSJOhbaE4HAVc8F2WrdMQV8JwihIm6qGMPU_Y_UVOQzx-Gv50pAN8Lj447FSWkOqzghgKOUp3Xrren54OMM5IPw7Gd2vVcBwhVyjjCwG-8FE67vfc/s400/Hook+Analyser+3.4+-+Machine+Learning.png" width="400" /></a></div>
<br />
<br />
You can download the new release from here - <a href="https://goo.gl/U1PDSh">https://goo.gl/U1PDSh</a><br />
<br />
<div class="separator" style="background-color: white; clear: both; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px;">
Interested to see how community is utilising Hook Analyser? Following are some noteworthy mentions -</div>
<div class="separator" style="background-color: white; clear: both; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px;">
<br /></div>
<ul style="background-color: white; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 1.4; list-style-image: initial; list-style-position: initial; margin: 0.5em 0px; padding: 0px 2.5em;">
<li style="border: none; line-height: 18.2px; margin: 0px 0px 0.25em; padding: 0.25em 0px;"><a href="http://holisticinfosec.blogspot.com.au/2015/08/toolsmith-there-is-no-privacy-hook.html?m=0" style="color: #015782; text-decoration: none;" target="_blank">toolsmith: There Is No Privacy - Hook Analyser vs. Hacking Team</a></li>
<li style="border: none; line-height: 18.2px; margin: 0px 0px 0.25em; padding: 0.25em 0px;"><a href="https://isc.sans.edu/diary/Keeping+the+RATs+out%3A+the+trap+is+sprung+-+Part+3/18415" style="color: #015782; line-height: 18.2px; text-decoration: none;">https://isc.sans.edu/diary/Keeping+the+RATs+out%3A+the+trap+is+sprung+-+Part+3/18415</a></li>
<li style="border: none; line-height: 18.2px; margin: 0px 0px 0.25em; padding: 0.25em 0px;"><a href="https://www.youtube.com/watch?v=35teUHnZNGU" style="color: #015782; font-family: arial, sans-serif; font-size: 12.8px; text-decoration: none;" target="_blank">https://www.youtube.com/<wbr></wbr>watch?v=35teUHnZNGU</a><span style="font-family: arial, sans-serif; font-size: 12.8px;"> (@59:00)</span></li>
<li style="border: none; line-height: 18.2px; margin: 0px 0px 0.25em; padding: 0.25em 0px;"><span style="font-family: arial, sans-serif;"><span style="font-size: 12.8px;"><a href="https://digital-forensics.sans.org/summit-archives/DFIR_Summit/7-Sins-of-Malware-Analysis-Dominique-Kilman.pdf" style="color: #015782; text-decoration: none;">https://digital-forensics.sans.org/summit-archives/DFIR_Summit/7-Sins-of-Malware-Analysis-Dominique-Kilman.pdf</a></span></span></li>
<li style="border: none; line-height: 18.2px; margin: 0px 0px 0.25em; padding: 0.25em 0px;"><a href="http://binaryhax0r.blogspot.com.au/2013/01/cve-2012-4792-hook-analyser.html" style="color: #015782; font-family: arial, sans-serif; font-size: 12.8px; text-decoration: none;">http://binaryhax0r.blogspot.com.au/2013/01/cve-2012-4792-hook-analyser.html</a></li>
<li style="border: none; margin: 0px 0px 0.25em; padding: 0.25em 0px;"><span style="color: #222222; font-family: arial, sans-serif; line-height: 18.2px;"><span style="font-size: 12.8px;"><a href="http://www.darknet.org.uk/2014/05/hook-analyser-3-1-malware-analysis-tool/" style="color: #015782; text-decoration: none;">http://www.darknet.org.uk/2014/05/hook-analyser-3-1-malware-analysis-tool/</a></span></span></li>
<li style="border: none; margin: 0px 0px 0.25em; padding: 0.25em 0px;"><span style="color: #015782; font-family: arial, sans-serif;"><span style="font-size: 12.8px; line-height: 18.2px;">https://www.owasp.org/images/5/5b/RevEngMal.pptx</span></span></li>
</ul>
Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3031878898096853323.post-91593034751885316212016-03-19T22:21:00.001-07:002016-04-07T03:06:32.885-07:00Update - Hook Analyser ProjectReaders,<br />
<br />
On this post I'd like to share some of the updates on the next release of Hook Analyser project v3.4.<br />
<br />
In the current state i.e. v3.3, Hook Analyser has got the two (2) key capabilities: Malware Analysis (static and dynamic) and (Open Source) Threat Intelligence (collection, correlation and visualisation).<br />
<br />
I'd like to announce that one of my other projects - Incident Analyser will be ported into Hook Analyser as a module called "Probe Engine".<br />
<br />
The Probe Engine performs AD enumeration to extract information about registered machines, privileged accounts-related details etc. Once the list of the machines is extracted, or a user-specified network range is provided, Probe engine will connect to each of the machine (credential will be required) and extract information such as external IPs where machines are connected with, processes hashes related information etc. This information will subsequently flow through the intelligence and malware analysis module for further analysis and investigation.<br />
<br />
As you'd imagine, this is a major step in terms of the project maturity - and it may take some time. I'll try my best to release a working version as soon as possible.<br />
<br />
At a high-level, the project will address following key use cases -<br />
<ul>
<li>Breach detection through information collection and co-relation with open source intelligence</li>
<li>Basic and Advanced Malware Analysis</li>
<li>Security controls enrichment through collection and sharing of Indicators of Compromise (IOCs) </li>
</ul>
<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgqEzU7lKxyCyZAsO2dPUxBfeKG9nqMFdGQrMda6OsvjUOv82gZ5CWNVvMYSHDeYOf89KXuCIZJkesBcT1_Vtn7llZYFOoJSB8lk0k5D3fHjOe_VfKYEPOFUZvHcKB2S1tNFkk0-CIhhL8/s1600/2016-03-19+01_11_35-Hook+Analyser.pptx+-+PowerPoint.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="250" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgqEzU7lKxyCyZAsO2dPUxBfeKG9nqMFdGQrMda6OsvjUOv82gZ5CWNVvMYSHDeYOf89KXuCIZJkesBcT1_Vtn7llZYFOoJSB8lk0k5D3fHjOe_VfKYEPOFUZvHcKB2S1tNFkk0-CIhhL8/s400/2016-03-19+01_11_35-Hook+Analyser.pptx+-+PowerPoint.png" width="400" /></a></div>
<div class="separator" style="clear: both; text-align: center;">
<br /></div>
<div class="separator" style="clear: both; text-align: left;">
Interested to see how community is utilising Hook Analyser? Following are some noteworthy mentions -</div>
<div class="separator" style="clear: both; text-align: left;">
<br /></div>
<ul style="margin: 0.5em 0px; padding: 0px 2.5em;">
<li style="border-image-outset: initial; border-image-repeat: initial; border-image-slice: initial; border-image-source: initial; border-image-width: initial; border: none; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 18.2px; margin: 0px 0px 0.25em; padding: 0.25em 0px;"><a href="http://holisticinfosec.blogspot.com.au/2015/08/toolsmith-there-is-no-privacy-hook.html?m=0" style="color: #015782; text-decoration: none;" target="_blank">toolsmith: There Is No Privacy - Hook Analyser vs. Hacking Team</a></li>
<li style="border-image-outset: initial; border-image-repeat: initial; border-image-slice: initial; border-image-source: initial; border-image-width: initial; border: none; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 18.2px; margin: 0px 0px 0.25em; padding: 0.25em 0px;"><a href="https://isc.sans.edu/diary/Keeping+the+RATs+out%3A+the+trap+is+sprung+-+Part+3/18415" style="color: #015782; line-height: 18.2px; text-decoration: none;">https://isc.sans.edu/diary/Keeping+the+RATs+out%3A+the+trap+is+sprung+-+Part+3/18415</a></li>
<li style="border-image-outset: initial; border-image-repeat: initial; border-image-slice: initial; border-image-source: initial; border-image-width: initial; border: none; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 18.2px; margin: 0px 0px 0.25em; padding: 0.25em 0px;"><a href="https://www.youtube.com/watch?v=35teUHnZNGU" style="color: #015782; font-family: arial, sans-serif; font-size: 12.8px; text-decoration: none;" target="_blank">https://www.youtube.com/<wbr></wbr>watch?v=35teUHnZNGU</a><span style="font-family: "arial" , sans-serif; font-size: 12.8px;"> (@59:00)</span></li>
<li style="border-image-outset: initial; border-image-repeat: initial; border-image-slice: initial; border-image-source: initial; border-image-width: initial; border: none; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 18.2px; margin: 0px 0px 0.25em; padding: 0.25em 0px;"><span style="font-family: "arial" , sans-serif;"><span style="font-size: 12.8px;"><a href="https://digital-forensics.sans.org/summit-archives/DFIR_Summit/7-Sins-of-Malware-Analysis-Dominique-Kilman.pdf" style="color: #015782; text-decoration: none;">https://digital-forensics.sans.org/summit-archives/DFIR_Summit/7-Sins-of-Malware-Analysis-Dominique-Kilman.pdf</a></span></span></li>
<li style="border-image-outset: initial; border-image-repeat: initial; border-image-slice: initial; border-image-source: initial; border-image-width: initial; border: none; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 18.2px; margin: 0px 0px 0.25em; padding: 0.25em 0px;"><a href="http://binaryhax0r.blogspot.com.au/2013/01/cve-2012-4792-hook-analyser.html" style="color: #015782; font-family: arial, sans-serif; font-size: 12.8px; text-decoration: none;">http://binaryhax0r.blogspot.com.au/2013/01/cve-2012-4792-hook-analyser.html</a></li>
<li style="border-image-outset: initial; border-image-repeat: initial; border-image-slice: initial; border-image-source: initial; border-image-width: initial; border: none; margin: 0px 0px 0.25em; padding: 0.25em 0px;"><span style="color: #222222; font-family: "arial" , sans-serif; font-size: 13px; line-height: 18.2px;"><span style="font-size: 12.8px;"><a href="http://www.darknet.org.uk/2014/05/hook-analyser-3-1-malware-analysis-tool/" style="color: #015782; text-decoration: none;">http://www.darknet.org.uk/2014/05/hook-analyser-3-1-malware-analysis-tool/</a></span></span></li>
<li style="border-image-outset: initial; border-image-repeat: initial; border-image-slice: initial; border-image-source: initial; border-image-width: initial; border: none; margin: 0px 0px 0.25em; padding: 0.25em 0px;"><span style="color: #015782; font-family: "arial" , sans-serif;"><span style="font-size: 12.8px; line-height: 18.2px;">https://www.owasp.org/images/5/5b/RevEngMal.pptx</span></span></li>
</ul>
Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3031878898096853323.post-14266775284083749952016-03-08T23:37:00.000-08:002016-03-21T03:11:26.501-07:00Hook Analyser 3.3 Release and A Great News!Readers,<br />
<br />
2015 was an incredible year for Hook Analyser for several reasons e.g. new functionalities introduced, several critical bugs were fixed and of course "the new baby - ThreatIntel module" was added as well. The ThreatIntel module was introduced as a value-add to the malware analysis module/engine. However, I admit that I underestimated its value : The ThreatIntel module has become bigger than ever with over 200 commits in the last 12 months. This is attributed to the requests of Hook Analyser users.<br />
<br />
I'd like to announce that Hook Analyser was awarded as "<a href="https://twitter.com/holisticinfosec/status/689950807224119296" target="_blank">Toolsmith Tool of the Year 2015</a>". This wouldn't have been accomplished without the support of loyal Hook Analyser users and admirers. Thanks all for your vote of confidence on this project. As a chief-developer and architect of this project, this recognition does provide me a lot of energy to continue to build cool things. If you have any new idea or would like to partner with the solution, please<a href="mailto:beenu.a.arora@gmail.com" target="_blank"> feel free to reach out to me.</a> The project is becoming bigger each day and if you'd like to contribute to it then give me a shout.<br />
<br />
On this occasion, I'd also like to release the new version of Hook Analyser v3.3. Several improvements have been made on this release as following -<br />
<br />
<ul>
<li>ThreatIntel module can now parse pdf files as well (along with text and pcap files) for extracting IOCs, and can then perform keyboard-based intelligence on it</li>
<li>Several bug-fixes and improved stability</li>
</ul>
<div>
<br /></div>
<div>
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgFnW6kRP75RCy9V8ewpr8-JkDmGjWpNbIziZyChNXfsh3Mz_ywyshLbj3aNvko0qTjGGxbBt6iM71rcjgWr4KilKikCfxZVqSPuaZOTmM3bscRAE3wByOWPuo3yy70B6AmTcQYM-I9ubs/s1600/Hook+Analyser+3.3.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="220" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgFnW6kRP75RCy9V8ewpr8-JkDmGjWpNbIziZyChNXfsh3Mz_ywyshLbj3aNvko0qTjGGxbBt6iM71rcjgWr4KilKikCfxZVqSPuaZOTmM3bscRAE3wByOWPuo3yy70B6AmTcQYM-I9ubs/s400/Hook+Analyser+3.3.png" width="400" /></a></div>
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgcIayqyId3kl9Smb0IeA4JN_YUEeBafnbAUn1LBfHaNCQYCcRlHXIcLUWC8BdnTJeep8lI1-kHBcPbBNvmjiGcjvjLADi3ERJ6IX0rLYYxb4xgCyQ7uBAXCjSRUWrBZeBBPr36XlBVaIU/s1600/ThreatIntel.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="132" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgcIayqyId3kl9Smb0IeA4JN_YUEeBafnbAUn1LBfHaNCQYCcRlHXIcLUWC8BdnTJeep8lI1-kHBcPbBNvmjiGcjvjLADi3ERJ6IX0rLYYxb4xgCyQ7uBAXCjSRUWrBZeBBPr36XlBVaIU/s400/ThreatIntel.png" width="400" /></a></div>
<div>
<br /></div>
<div>
<br /></div>
<div>
You may download the tool from <a href="https://goo.gl/U1PDSh" target="_blank">here</a>.<br />
<br />
<br />
<b>There is one more thing to add - </b><br />
<br />
In the current state i.e. v3.3, Hook Analyser has got the two (2) key capabilities: Malware Analysis (static and dynamic) and (Open Source) Threat Intelligence (collection, correlation and visualisation).<br />
<br />
I'd like to announce that one of my other projects - Incident Analyser will be ported into Hook Analyser as a module called "Probe Engine" in the version 3.4. <a href="http://www.hookanalyser.com/2016/03/update-hook-analyser-project.html" target="_blank">Click here</a> to get information about the next release.<br />
<br /></div>
Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3031878898096853323.post-81677678057384990792015-07-19T05:06:00.003-07:002015-11-03T22:31:29.349-08:00Hook Analyser 3.2 - Major ReleaseReaders,<br />
<br /><b>UPDATE (4/11/2015) -</b> Have made few changes on ThreatIntel module UI and fixed few bugs. Download links have been updated.<br />
<br />
On this post, I'd like to announce the release of Hook Analyser v3.2. On this releases, significant improvements and capabilities have been added to the Threat Intelligence module.<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjwlcQqJRiL55IXf3HjSMvAlvX3hPJH73-3uzMhrnfBKMwe5KoP7Ob1DETlDctWFJqLvVAo0ThJTOZuLl-Pj13Nnh5WCLaScK47GSd00enEvSjkOJ_hA_IS9f2cdg8fS-ZfBkvcaOSQuTo/s1600/Hook+Analyser+3.2+Screenshot+-1.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="197" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjwlcQqJRiL55IXf3HjSMvAlvX3hPJH73-3uzMhrnfBKMwe5KoP7Ob1DETlDctWFJqLvVAo0ThJTOZuLl-Pj13Nnh5WCLaScK47GSd00enEvSjkOJ_hA_IS9f2cdg8fS-ZfBkvcaOSQuTo/s320/Hook+Analyser+3.2+Screenshot+-1.jpg" width="320" /></a></div>
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhl_FRxQ60pbti7wssuE_tMzralUI0CBekwQUPv0ZUTIyyiqtUSG1wk1rLwixvODl3qv43qcIZuTOwB7lGEjz1HpgjooFuSHDt327_8wQU8sikLcvYnPxdKfj3Zlxp_p6_QKDL5hUybs9Y/s1600/Hook+Analyser+3.2+Screenshot+-2.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="167" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhl_FRxQ60pbti7wssuE_tMzralUI0CBekwQUPv0ZUTIyyiqtUSG1wk1rLwixvODl3qv43qcIZuTOwB7lGEjz1HpgjooFuSHDt327_8wQU8sikLcvYnPxdKfj3Zlxp_p6_QKDL5hUybs9Y/s320/Hook+Analyser+3.2+Screenshot+-2.jpg" width="320" /></a></div>
<br />
<br />
Following are the key improvements and enhanced features -<br />
<br />
<ul>
<li>The malware analysis module has been improved - and new signatures have been added</li>
<li>Cyber Threat Intelligence module -</li>
<ul>
<li>IP Intelligence module (Analyse multiple IP addresses instead of just 1!). Sample output -</li>
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgySPsO__Vv3LR606uZe4qgWCgw_O-OcEcWPtbfMdF8n9v1hUAYlocmL-UfjJyR7nPq3QcE5KeaJeL5h-JekkwQB5B3IyjcV93PKJ19lfDRFL9aJuzshSv9rZfFvv-6bbgm6GZGn_7jV1I/s1600/Hook+Analyser+3.2+Screenshot+-10.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="218" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgySPsO__Vv3LR606uZe4qgWCgw_O-OcEcWPtbfMdF8n9v1hUAYlocmL-UfjJyR7nPq3QcE5KeaJeL5h-JekkwQB5B3IyjcV93PKJ19lfDRFL9aJuzshSv9rZfFvv-6bbgm6GZGn_7jV1I/s400/Hook+Analyser+3.2+Screenshot+-10.jpg" width="400" /></a></div>
<li>Keyword Intelligence module (Analyse keywords e.g. Internet Explorer 11, IP address, Hash etc). Sample output - </li>
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjIPm11zMYsTiMER6zqPDXTgAOJ_zb12D_VB1DZQqrGRft9QVLp6wTBOCuNzygkzlJP8JN2L3BdOTOSuF4rjDJdDgvo3E73QWCSqtvYaUqhMnAz6WVfl3YGQhU93nkX5JlZTpb6GiVJAO8/s1600/Hook+Analyser+3.2+Screenshot+-11.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="198" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjIPm11zMYsTiMER6zqPDXTgAOJ_zb12D_VB1DZQqrGRft9QVLp6wTBOCuNzygkzlJP8JN2L3BdOTOSuF4rjDJdDgvo3E73QWCSqtvYaUqhMnAz6WVfl3YGQhU93nkX5JlZTpb6GiVJAO8/s400/Hook+Analyser+3.2+Screenshot+-11.jpg" width="400" /></a></div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhF1MR47JQaHYmKI9ITXFJ2mUNR52-JcEmEHJYm2oPI4X6PvQwixdGdkbiLaREvDb9enE2V8_BT3lDCxcCXBRhAEfF1yQRl0WXushpvSFbqQPg-gaXr-COxqtZPZttOtgEUN2ate0KSjtY/s1600/Hook+Analyser+3.2+Screenshot+-12.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="210" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhF1MR47JQaHYmKI9ITXFJ2mUNR52-JcEmEHJYm2oPI4X6PvQwixdGdkbiLaREvDb9enE2V8_BT3lDCxcCXBRhAEfF1yQRl0WXushpvSFbqQPg-gaXr-COxqtZPZttOtgEUN2ate0KSjtY/s400/Hook+Analyser+3.2+Screenshot+-12.jpg" width="400" /></a></div>
<li>Network file (PCAP) analysis - Analyse user-provided .PCAP file and performs analysis on external IP addresses. Example -</li>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiDgG7XeZR0FaKsAR_0JofjNKP97MB-Ghp4_ouUU473CJ1__ACfq64frYLPPMfPOAzV6oKkpI5TmUAci07OKKc2Io5srelmMCJK19VlP6h01AmZDxUodgbBKy0Km9G56DydW1P4gG71uUE/s1600/Hook+Analyser+3.2+Screenshot+-13.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="100" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiDgG7XeZR0FaKsAR_0JofjNKP97MB-Ghp4_ouUU473CJ1__ACfq64frYLPPMfPOAzV6oKkpI5TmUAci07OKKc2Io5srelmMCJK19VlP6h01AmZDxUodgbBKy0Km9G56DydW1P4gG71uUE/s400/Hook+Analyser+3.2+Screenshot+-13.jpg" width="400" /></a></div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjnZG6TaDYBXvYF7Hl2VCGDRcCk7_S4eW_AE4AQFPBrZk_8CW1-KU4OOjnGnMdzGZGd63kaH6-EgBCjhMGYsffbTuuMOKEptGYRvuuTR5TOwgxgr-W6m5Naatcr-jwJBx2GiNex8NEGK4A/s1600/Hook+Analyser+3.2+Screenshot+-14.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="175" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjnZG6TaDYBXvYF7Hl2VCGDRcCk7_S4eW_AE4AQFPBrZk_8CW1-KU4OOjnGnMdzGZGd63kaH6-EgBCjhMGYsffbTuuMOKEptGYRvuuTR5TOwgxgr-W6m5Naatcr-jwJBx2GiNex8NEGK4A/s400/Hook+Analyser+3.2+Screenshot+-14.jpg" width="400" /></a></div>
<li>Social Intelligence (Pulls data from Twitter- for user-defined keywords and performs network analysis). Example -</li>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjmBNzWNu6jWgJtIe9uXwYbgSuY2e5xLUOYk11rGeL944JFZ9Of3Amph6SyixJWkqthPnhQN62HlBfQg_Xgu_EGNhUX3V1hhC8SawaqDusCgD6VsuBHIAJSJhi5pPOfuRVF_uhmOe46cLo/s1600/Hook+Analyser+3.2+Screenshot+-15.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="191" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjmBNzWNu6jWgJtIe9uXwYbgSuY2e5xLUOYk11rGeL944JFZ9Of3Amph6SyixJWkqthPnhQN62HlBfQg_Xgu_EGNhUX3V1hhC8SawaqDusCgD6VsuBHIAJSJhi5pPOfuRVF_uhmOe46cLo/s400/Hook+Analyser+3.2+Screenshot+-15.jpg" width="400" /></a></div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiZYeAepBG1xfFmdYLkvwJ_extSt8O-IZVID2xT3sOuglx_otN10CDInmIPxxzB1rw0jKBpCUOS8QSAZIxxQwF9vjlUIXEdoqAFs6qnwlaU9_opPusyWH31yUMH_ji_L-Fs_iMTBaRMrRc/s1600/Hook+Analyser+3.2+Screenshot+-16.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="207" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiZYeAepBG1xfFmdYLkvwJ_extSt8O-IZVID2xT3sOuglx_otN10CDInmIPxxzB1rw0jKBpCUOS8QSAZIxxQwF9vjlUIXEdoqAFs6qnwlaU9_opPusyWH31yUMH_ji_L-Fs_iMTBaRMrRc/s400/Hook+Analyser+3.2+Screenshot+-16.jpg" width="400" /></a></div>
</ul>
</ul>
<br />
<br />
<br />
Let's look at "HOW-TO-USE" of this releases (Cyber Threat Intelligence) -<br />
<br />
The tool can perform analysis via 2 methods - auto mode and manual mode.<br />
<br />
In the auto mode, the tool will use the following files for analysis -<br />
<br />
<ol>
<li>Channels.txt (Path: feeds->channels.txt): Specify the list of the twitter related channels or keywords for monitoring. In the Auto mode, the monitoring is performed for 2 minutes only, however if you'd like to monitor indefinitely, please select the manual mode. </li>
<ul>
<li>Example - <div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiSy1XaM4wdnmiu1J0up56JaXTUm6xs24dNmrQVXZghad4jOCDoYC1cDRCVEncCGaUFd6IQ45N4i5wDzF7O8wMFXrdMmBsQ63nSyVyuEspB7KsoZPBRLLbwCvySop7TheoKaPyTjiACGmk/s1600/Hook+Analyser+3.2+Screenshot+-3.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="49" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiSy1XaM4wdnmiu1J0up56JaXTUm6xs24dNmrQVXZghad4jOCDoYC1cDRCVEncCGaUFd6IQ45N4i5wDzF7O8wMFXrdMmBsQ63nSyVyuEspB7KsoZPBRLLbwCvySop7TheoKaPyTjiACGmk/s320/Hook+Analyser+3.2+Screenshot+-3.jpg" width="320" /></a></div>
</li>
</ul>
<li>intelligence-ipdb.txt (Path: feeds->intelligence-ipdb.txt): Specify the list of IP addresses you'd like to analyse. Yes, you can provide as many IPs you'd like to.</li>
<ul>
<li>Example - <div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjNbl7iF1_j2ahXpL54GmRL_0Zc7leJshVt7WacolsdvBF2PkH9fyXMLRfjkw63b-z-HEtQi985Wh4_Bf2N5mvjdWHPcotPeuO55-2_ftgA27XGIip7UFxAaPtnRNnQXLhkhN0vZ-O59JM/s1600/Hook+Analyser+3.2+Screenshot+-4.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="54" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjNbl7iF1_j2ahXpL54GmRL_0Zc7leJshVt7WacolsdvBF2PkH9fyXMLRfjkw63b-z-HEtQi985Wh4_Bf2N5mvjdWHPcotPeuO55-2_ftgA27XGIip7UFxAaPtnRNnQXLhkhN0vZ-O59JM/s320/Hook+Analyser+3.2+Screenshot+-4.jpg" width="320" /></a></div>
</li>
</ul>
<li>Keywords.txt (Path: feeds->Keywords.txt): Specify the list of keywords you'd like to analyse. Yes, you can provide as many keywords you'd like to.</li>
<ul>
<li>Example - <div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjgQvWpNik7OyZyJMNSLccLn1NH9QwzCgsEzjn0rmRdhukwwIEFDDe-lg9CkULPMe13_bFwtIuB7QfEyBo5U-YmExqwDGjqD83rGChjyrDJMXEQjgfiPDq_VdKjoknQWlUMpruKr6ShwEg/s1600/Hook+Analyser+3.2+Screenshot+-5.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="58" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjgQvWpNik7OyZyJMNSLccLn1NH9QwzCgsEzjn0rmRdhukwwIEFDDe-lg9CkULPMe13_bFwtIuB7QfEyBo5U-YmExqwDGjqD83rGChjyrDJMXEQjgfiPDq_VdKjoknQWlUMpruKr6ShwEg/s320/Hook+Analyser+3.2+Screenshot+-5.jpg" width="320" /></a></div>
</li>
</ul>
<li>rssurl.txt (Path: feeds->rssurl.txt): Specify the RSS feeds to fetch vulnerability-related information.</li>
<ul>
<li>Example -<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiD_sDH4-VP-Qn9sd8OF4zYbSPm_hWMW28EtSjaLPYZMi8XzwYKwqb24ANWGUM5v9SEqW13SdwL10YZQmSKq7j2CUGjs4xnP4pK4N-wUqxAJPFD-LVob7hyNU8wDfEbV78V-VKYSry_Uy4/s1600/Hook+Analyser+3.2+Screenshot+-6.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="59" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiD_sDH4-VP-Qn9sd8OF4zYbSPm_hWMW28EtSjaLPYZMi8XzwYKwqb24ANWGUM5v9SEqW13SdwL10YZQmSKq7j2CUGjs4xnP4pK4N-wUqxAJPFD-LVob7hyNU8wDfEbV78V-VKYSry_Uy4/s320/Hook+Analyser+3.2+Screenshot+-6.jpg" width="320" /></a></div>
</li>
</ul>
<li>url.txt (Path: feeds->url.txt): Specify the list of the URLs from where tool will pull malicious IP addresses information.</li>
<ul>
<li>Example - <div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgP78j1UrjKzUznJMUnd2UCjols8xDrlMaYrBymcBQ7BLjRiFeg8EEQRKuyIsF6jt-72gNYhOFa_gON_X6D0s5srO2M5YwVVPpWFkDcBnTnh1q8kzZya2O0UQxWqjQuGeZIpSxeA4AUXiQ/s1600/Hook+Analyser+3.2+Screenshot+-7.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="132" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgP78j1UrjKzUznJMUnd2UCjols8xDrlMaYrBymcBQ7BLjRiFeg8EEQRKuyIsF6jt-72gNYhOFa_gON_X6D0s5srO2M5YwVVPpWFkDcBnTnh1q8kzZya2O0UQxWqjQuGeZIpSxeA4AUXiQ/s320/Hook+Analyser+3.2+Screenshot+-7.jpg" width="320" /></a></div>
</li>
</ul>
</ol>
<br />
Threat Intel module can be executed from HookAnalyser3.2.exe (option #6) file or can be executed directly through ThreatIntel.exe file. Refer to the following screenshots -<br />
<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEitvEzbm1GOchJMg_oiL9Txhw4oCBeTAl6R6ymImogWTYIva_8S0c-SR-M6e5ux_a_kehfE0YHw2xt_5lGnTYPEXsd_dKE3xyhinHsWIhWbPVPicUQWf3j4gCWdVZCczWo2jbo3PLnywvk/s1600/Hook+Analyser+3.2+Screenshot+-8.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="231" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEitvEzbm1GOchJMg_oiL9Txhw4oCBeTAl6R6ymImogWTYIva_8S0c-SR-M6e5ux_a_kehfE0YHw2xt_5lGnTYPEXsd_dKE3xyhinHsWIhWbPVPicUQWf3j4gCWdVZCczWo2jbo3PLnywvk/s400/Hook+Analyser+3.2+Screenshot+-8.jpg" width="400" /></a></div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjv5a2EIj1V3fsSziGJ-MSTGPzmPK-UHG31c7cwDPQJ37xI6wvbbFMWnudWmCAO3a-2Ep-KGqxYGulLNK-xBJpgdWSmQyTqZhfH8CKHehQ2sZ5Pd9eTOKScT5sXneVBVBdiPS4KxOC9sk8/s1600/Hook+Analyser+3.2+Screenshot+-9.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjv5a2EIj1V3fsSziGJ-MSTGPzmPK-UHG31c7cwDPQJ37xI6wvbbFMWnudWmCAO3a-2Ep-KGqxYGulLNK-xBJpgdWSmQyTqZhfH8CKHehQ2sZ5Pd9eTOKScT5sXneVBVBdiPS4KxOC9sk8/s400/Hook+Analyser+3.2+Screenshot+-9.jpg" width="271" /></a></div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjDM_UY9vcH5u2vV8_V7ewAqlzzMxy_PsXhjTweDw0emJpRrrVbTEs8wUJ9Dzi_dksXNkezmQlOg2_jxM7utHnGNJ4AOe45Su8CZ_xohllrA542ZfAPKBHK54IuxGGmvyJV4VGcpefspI0/s1600/Hook+Analyser+3.2+Screenshot+-17.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjDM_UY9vcH5u2vV8_V7ewAqlzzMxy_PsXhjTweDw0emJpRrrVbTEs8wUJ9Dzi_dksXNkezmQlOg2_jxM7utHnGNJ4AOe45Su8CZ_xohllrA542ZfAPKBHK54IuxGGmvyJV4VGcpefspI0/s400/Hook+Analyser+3.2+Screenshot+-17.jpg" width="252" /></a></div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi8vKTA0-IWdBbaN5NpkoyvJIj6lhkhOFIayCaKCE4f8vrXbPXOGOh1c-lgF3Ou4euqOIEJMFQFIhgsL8mSS0nZmRndbU6ouSd1G2y6puV4e0hMdgQhXbI4Itt09mG8LnWlcDhsmhnMDKw/s1600/Hook+Analyser+3.2+Screenshot+-18.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi8vKTA0-IWdBbaN5NpkoyvJIj6lhkhOFIayCaKCE4f8vrXbPXOGOh1c-lgF3Ou4euqOIEJMFQFIhgsL8mSS0nZmRndbU6ouSd1G2y6puV4e0hMdgQhXbI4Itt09mG8LnWlcDhsmhnMDKw/s400/Hook+Analyser+3.2+Screenshot+-18.jpg" width="288" /></a></div>
<div class="separator" style="clear: both; text-align: center;">
<br /></div>
<br />
In manual mode, you'd need to provide filename as an argument. Example below -<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgo1e374v-wsdMne1icRm7oKeOnVUFwlh_vZWBsfu4Ylphw68d88xgoQVwSKfmcrYrqjnO2kI2iRVflfbx3PK2QbSyLvRRSzOhzAxizp3UrrzX8T3xJcY27_kiJZZNGGv2q2CkXpAmn7bM/s1600/Hook+Analyser+3.2+Screenshot+-13.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="100" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgo1e374v-wsdMne1icRm7oKeOnVUFwlh_vZWBsfu4Ylphw68d88xgoQVwSKfmcrYrqjnO2kI2iRVflfbx3PK2QbSyLvRRSzOhzAxizp3UrrzX8T3xJcY27_kiJZZNGGv2q2CkXpAmn7bM/s400/Hook+Analyser+3.2+Screenshot+-13.jpg" width="400" /></a></div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEieiwOapQrTmXTdDo8GdfX3RTabx4v5nNnzw7u9_iNTmhUiRaUTBWpmHkd-T_aTxtA4zFdLk0MTfeBsDHF568xXVyBLsSKlgStH7KasGGxOqc6CSaxAxJuuhQoCKdz0NXzrOFMXdElfhQg/s1600/Hook+Analyser+3.2+Screenshot+-14.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="175" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEieiwOapQrTmXTdDo8GdfX3RTabx4v5nNnzw7u9_iNTmhUiRaUTBWpmHkd-T_aTxtA4zFdLk0MTfeBsDHF568xXVyBLsSKlgStH7KasGGxOqc6CSaxAxJuuhQoCKdz0NXzrOFMXdElfhQg/s400/Hook+Analyser+3.2+Screenshot+-14.jpg" width="400" /></a></div>
<br />
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<div style="background-color: white; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 18.2000007629395px;">
<b>Important note - The software shall only be used for "NON-COMMERCIAL" purposes. For commercial usage, written permission from the <a href="mailto:beenudel1986@gmail.com" style="color: #015782; text-decoration: none;" target="_blank">Author </a>must be obtained prior to use.</b></div>
<div style="background-color: white; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 18.2000007629395px;">
<br /></div>
<div style="background-color: white;">
<div style="color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 18.2000007629395px;">
If you're interested for a conversation or would like to share your success story with the tool, please feel free to write back on - <a href="mailto:beenudel1986@gmail.com" style="color: #015782; text-decoration: none;" target="_blank">beenudel1986@gmail.com </a></div>
<div style="color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 18.2000007629395px;">
<a href="mailto:beenudel1986@gmail.com" style="color: #015782; text-decoration: none;" target="_blank"><br /></a></div>
<div style="font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 18.2000007629395px;">
Some of the noteworthy use case are below -</div>
<ul>
<li><a href="http://holisticinfosec.blogspot.com.au/2015/08/toolsmith-there-is-no-privacy-hook.html?m=0" target="_blank">toolsmith: There Is No Privacy - Hook Analyser vs. Hacking Team</a></li>
<li><a href="https://isc.sans.edu/diary/Keeping+the+RATs+out%3A+the+trap+is+sprung+-+Part+3/18415" style="font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 18.2000007629395px;">https://isc.sans.edu/diary/Keeping+the+RATs+out%3A+the+trap+is+sprung+-+Part+3/18415</a></li>
<li><a href="https://www.youtube.com/watch?v=35teUHnZNGU" style="font-family: arial, sans-serif; font-size: 12.8000001907349px;" target="_blank">https://www.youtube.com/<wbr></wbr>watch?v=35teUHnZNGU</a><span style="font-family: "arial" , sans-serif; font-size: 12.8000001907349px;"> (@59:00)</span></li>
<li><span style="font-family: "arial" , sans-serif;"><span style="font-size: 12.8000001907349px;"><a href="https://digital-forensics.sans.org/summit-archives/DFIR_Summit/7-Sins-of-Malware-Analysis-Dominique-Kilman.pdf">https://digital-forensics.sans.org/summit-archives/DFIR_Summit/7-Sins-of-Malware-Analysis-Dominique-Kilman.pdf</a></span></span></li>
<li><a href="http://binaryhax0r.blogspot.com.au/2013/01/cve-2012-4792-hook-analyser.html" style="font-family: arial, sans-serif; font-size: 12.8000001907349px;">http://binaryhax0r.blogspot.com.au/2013/01/cve-2012-4792-hook-analyser.html</a></li>
<li><span style="color: #222222; font-family: "arial" , sans-serif;"><span style="font-size: 12.8000001907349px;"><a href="http://www.darknet.org.uk/2014/05/hook-analyser-3-1-malware-analysis-tool/">http://www.darknet.org.uk/2014/05/hook-analyser-3-1-malware-analysis-tool/</a></span></span></li>
</ul>
</div>
<div style="background-color: white; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 18.2000007629395px;">
<br /></div>
<div style="background-color: white; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 18.2000007629395px;">
Download the software <a href="https://goo.gl/vKA7X7" style="color: #015782; text-decoration: none;" target="_blank">here</a></div>
<br />Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3031878898096853323.post-67207231313754888192014-09-21T00:54:00.000-07:002014-09-21T01:49:29.086-07:00Preview 1 : Hook Analyser 3.2<div class="separator" style="clear: both; text-align: center;">
<br /></div>
Readers,<br />
<br />
It's been a while since I posted any news about the next version (v 3.2) of Hook Analyser, so decided to give some update on this front.<br />
<br />
<b>New (Sub) Module</b> : I am happy to announce that the next release will have a capability to pull information (near real-time) from social media website (Twitter), and you'd be able to analyse the results efficiently, including your brand promoter etc. This module will be a part of overarching Cyber Threat Intelligence module.<br />
<br />
<b><i>Thoughts </i></b>- The module is not only useful for pulling and analysing information related to Cyber security, it can be used for other purposes e.g. brand monitoring, data breach monitoring or 'any' news / feeds etc. There are several use-cases which can be made out of this.<br />
<br />
<br />
I have prepared a short video of the above however, this is still in development stage (so things may look different in release).<br />
<br />
<br />
<iframe allowfullscreen="" frameborder="0" height="315" src="//www.youtube.com/embed/wIw_agtGnGE" width="560"></iframe>
<br />
<br />
<br />
<br />
Image -<br />
<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgGWAZe6YNl-4MxT-oHNgjRbecXogJ8QQ09j4He4Vqey_2-E_iC36yT0JWKVscoeUxwYsgsRS04pSXA4jAHRB2fgzalCDFH4-avZOgAsYlr5G2WzPF9yvxSuJSf9DTWU3qqq2-u4MqDavk/s1600/2014-09-14+22_11_41-CompatWindow.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgGWAZe6YNl-4MxT-oHNgjRbecXogJ8QQ09j4He4Vqey_2-E_iC36yT0JWKVscoeUxwYsgsRS04pSXA4jAHRB2fgzalCDFH4-avZOgAsYlr5G2WzPF9yvxSuJSf9DTWU3qqq2-u4MqDavk/s1600/2014-09-14+22_11_41-CompatWindow.png" height="206" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Tweets categorised by Date</td></tr>
</tbody></table>
<br />
<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhVNQuVb2oBRyNw3W5XgEq8zadrfRHay07ZRJWuWdmfwrUz7xCk_3vgDHUjJXVVjY01lwtpoW2avsaQksceeweiMrMevId3XewutWGJWu6_062tuZGCiKcFXnNofnn-9998yEfzLbX01Qw/s1600/Social+Media+Monitor.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhVNQuVb2oBRyNw3W5XgEq8zadrfRHay07ZRJWuWdmfwrUz7xCk_3vgDHUjJXVVjY01lwtpoW2avsaQksceeweiMrMevId3XewutWGJWu6_062tuZGCiKcFXnNofnn-9998yEfzLbX01Qw/s1600/Social+Media+Monitor.png" height="255" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Brand Monitoring</td></tr>
</tbody></table>
<div class="separator" style="clear: both; text-align: center;">
<br /></div>
<br />
<br />
<b>Improvement </b><br />
<b><br /></b>
<br />
<ul>
<li><b>Cyber Threat Intelligence</b> : You'd be able to analyse analyse and co-related information of <strike>1</strike> 3 IP addresses. </li>
<ul>
<li>As you're aware, there is a restricted (or commercial) version of the tool which would allow you to do the following - </li>
<ul>
<li>Analyse and co-relate information related to unlimited IP addresses, and / or , for "any" keyword (e.g. CryptoLocker)</li>
<li>Parse PCAP file format and perform analysis on external IP addresses (with Visualisation)</li>
<li>Parse forward proxy logs and perform analysis over external IP addresses and domains (with Visualisation)</li>
</ul>
</ul>
<li>Hook Analyser : Signatures updated. Ability to export results into XML format.</li>
</ul>
Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3031878898096853323.post-31982717143468097872014-05-18T05:17:00.001-07:002014-05-20T05:58:03.254-07:00Hook Analyser 3.1 : Major releaseReaders,<br />
<div>
<br /></div>
<div>
I'm glad to announce major release (community version) of Hook Analyser 3.1. In this build, significant changes have been made to static malware analysis <i>(option #3)</i> and Cyber threat intelligence<i> (option #6)</i> modules, along with addition of a new module - batch analysis <i>(option #7)</i>.<br />
<br />
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEinKBg4810A7FBVWQPvcOOa8Ni_X4WjeRQPcZd_4bKhJwUnR0ACFQV5H_CLKL8MY5YAdfBoesym5HlmicVJrK-LbSVH0TnTF0hGD2a4GyWWHtvFcWzRvxGZGIPf0VGodYn_9nXUp_naoBs/s1600/Hook+Analyser+3.1.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEinKBg4810A7FBVWQPvcOOa8Ni_X4WjeRQPcZd_4bKhJwUnR0ACFQV5H_CLKL8MY5YAdfBoesym5HlmicVJrK-LbSVH0TnTF0hGD2a4GyWWHtvFcWzRvxGZGIPf0VGodYn_9nXUp_naoBs/s1600/Hook+Analyser+3.1.png" height="155" width="400" /></a></div>
<div>
<br /></div>
<div>
Following are key changes made - </div>
<div>
<ol><ol>
</ol>
<li>(Major Improvements) <b>Cyber threat intelligence module </b>-</li>
<ol>
<li><i>(Added) : New dashboard - which includes </i></li>
<ol>
<li><i>Global threat-landscape </i></li>
<li><i>Keyword based malware intelligence </i></li>
<li><i>IP based intelligence.</i></li>
</ol>
<li><i>(Added) : IP based intelligence output in XML format</i></li>
<li><i>(Reference) : Videos - </i></li>
</ol>
<div class="separator" style="clear: both; text-align: center;">
<iframe allowfullscreen='allowfullscreen' webkitallowfullscreen='webkitallowfullscreen' mozallowfullscreen='mozallowfullscreen' width='320' height='266' src='https://www.youtube.com/embed/uN0RI9rAo58?feature=player_embedded' frameborder='0'></iframe></div>
<div class="separator" style="clear: both; text-align: center;">
<br /></div>
<div style="text-align: center;">
<iframe allowfullscreen='allowfullscreen' webkitallowfullscreen='webkitallowfullscreen' mozallowfullscreen='mozallowfullscreen' width='320' height='266' src='https://www.youtube.com/embed/ludYKYkU614?feature=player_embedded' frameborder='0'></iframe></div>
<li>(Moderate Improvements) <b>Static malware analysis module</b> - </li>
<ol>
<li><i>(Added) : Signed file/malware detection and certificate extraction</i></li>
<li><i>(Modified) : Deep detection signatures improved</i></li>
<li><i>(Added) : Output in XML format</i></li>
</ol>
<li>(Moderate Improvements) <b>Other bug fixes</b></li>
<li>(Minor Addition) <b>Batch analysis module </b>- <i>Perform static analysis on all files in a directory.</i></li>
</ol>
<div>
As you'd noticed from above, there is an "exclusive" version of the software- with additional features on Cyber threat intelligence module, which includes -<br />
<br />
<ol>
<li><i>Keyword based search analysis</i></li>
<li><i>"Unlimited" IP addresses and keywords analysis (instead of 1 - in community version) - through additional sources on the Internet </i></li>
<li><i>Keywords based search intelligence module (in concert with above item #2) - <a href="http://goo.gl/GgxBmG" target="_blank">Demo 1</a> and <a href="http://goo.gl/fRSTuO" target="_blank">Demo 2</a></i></li>
</ol>
<div>
<b>Important note - The software shall only be used for "NON-COMMERCIAL" purposes. For commercial usage, written permission from the <a href="mailto:beenudel1986@gmail.com" target="_blank">Author </a>must be obtained prior to use.</b></div>
<div>
<br /></div>
<div>
If you're interested, feel free to write back on - <a href="mailto:beenudel1986@gmail.com" target="_blank">beenudel1986@gmail.com </a></div>
<div>
<br /></div>
<div>
Download the software <a href="http://goo.gl/XkAyU" target="_blank">here</a></div>
<div>
<br />
For quick guide or how-to document, <a href="http://goo.gl/zXZ1KA" target="_blank">click here</a><br />
<br /></div>
<div>
Thank you.</div>
</div>
</div>
Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3031878898096853323.post-70598292995473696232014-05-03T09:48:00.003-07:002014-05-03T09:48:14.444-07:00 Internet Explorer , Adobe Flash Player, MS-Office and Java Vulnerabilities - Used/Leveraged on Malware Attacks / Exploits Readers,<br />
<br />
You might be aware, I'm working on the <a href="http://hookanalyser.com/" target="_blank">Hook Analyser v3.1</a>. As part of the development, I put / test certain test use cases. On this instance, I was interested to understand (and visualise) which (and how many) vulnerabilities have been exploited (by malware) for various client side applications - MS Internet Explorer, Adobe Flash Player, MS Office and Oracle Java.<br />
<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgZgaC7hk2ACzOWO9NyI3oLcgYq09kmeQaLdAmwofMyCQAqdpHkhqFDZg26R2rhgSXrmwDqpmA1XyavQ-tubiP-_qTGaRtVnT9Co9XoMxtb8d_bt8ALbmDPXIPoa53z8lradj1847Ut9Cc/s1600/2014-04-16+22_19_11-CompatWindow.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgZgaC7hk2ACzOWO9NyI3oLcgYq09kmeQaLdAmwofMyCQAqdpHkhqFDZg26R2rhgSXrmwDqpmA1XyavQ-tubiP-_qTGaRtVnT9Co9XoMxtb8d_bt8ALbmDPXIPoa53z8lradj1847Ut9Cc/s1600/2014-04-16+22_19_11-CompatWindow.png" height="220" width="400" /></a></div>
<br />
<br />
<b>Observations </b>-<br />
<i><br /></i>
<br />
<ol>
<li><i>MS Internet Explorer outstands as being most exploited or targeted software. This can be attributed to large market share, which makes it an attractive target.</i></li>
<li><i>MS applications (Internet Explorer and MS Office) have been exploited more compared to Adobe Flash Player and Oracle Java.</i></li>
</ol>
Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3031878898096853323.post-70183882465685254242014-03-22T04:43:00.001-07:002014-03-22T04:43:35.267-07:00Preview - 3 - Hook Analyser 3.1 :Cyber Threat IntelligenceFriends,<br />
<br />
Here is an update on the Hook Analyser 3.1, specifically on Cyber Threat Intelligence module -<br />
<br />
The IP intelligence component (within the Cyber Threat Intelligence module) has come up well, and it can collect, normalise and visualise data sets collected from Open sources to provide actionable information sets.<br />
<br />
Following is the short video (or preview) of the tool -<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<iframe allowfullscreen='allowfullscreen' webkitallowfullscreen='webkitallowfullscreen' mozallowfullscreen='mozallowfullscreen' width='320' height='266' src='https://www.youtube.com/embed/ludYKYkU614?feature=player_embedded' frameborder='0'></iframe></div>
<br />
<br />
<br />
<br />Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3031878898096853323.post-9549543625894021622014-02-18T23:20:00.000-08:002014-02-19T17:53:06.903-08:00Preview (Part 2) - Hook Analyser 3.1: Cyber Threat Intelligence ModuleMates,<br />
<br />
As you might be aware, with the release of Hook Analyser 3.0 (released last year), Cyber Intelligence has become one of the key focus areas - which can be used to provide Strategic and Tactical directions related to Cyber threats to an organisation.<br />
<br />
The following screenshots are taken from "development" version of Hook Analyser 3.1 -<br />
<br />
<strong>Homepage -</strong><br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhyEcUihQWzFUqFZRoBA0J40SB-qPyXeDBpumSvYgnofUshErjjaAG7ommpvgzz-EYb8HkKHissmwLTGT8gPg2jJj4d-fVqgTSKeFkF2wQZACTeQzsmeutW1u9-aelxB47PhsZCwflJkeU/s1600/HomePage+-+CyberIntelligence.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhyEcUihQWzFUqFZRoBA0J40SB-qPyXeDBpumSvYgnofUshErjjaAG7ommpvgzz-EYb8HkKHissmwLTGT8gPg2jJj4d-fVqgTSKeFkF2wQZACTeQzsmeutW1u9-aelxB47PhsZCwflJkeU/s1600/HomePage+-+CyberIntelligence.png" height="313" width="400" /></a></div>
<br />
<br />
Menu 1 (option 1): Threat landscape - by country - This module will ingest "user-specified" external (or Internet facing) IP addresses from Internal / external URLs and map them back to countries. This has a potential of realising Cyber risks, and putting controls at strategic road-map - for e.g. enforcing a stringent policy at DLP, travel to high-risk countries.<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgdakCOTmWKXQYa8vDeDqzeTksdLKRVRbj4-emfkAoQqnd5INABhDw8EOoKHvP63dgUuwh4NGZju6u3KusSIWP3kGvZk8NemPMDJ6nJjafc-eoFvRTKWY64Inxq9dmXS4mMIT32l-rTk-0/s1600/Threatlandscape+-+by+Country+-+CyberIntelligence.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgdakCOTmWKXQYa8vDeDqzeTksdLKRVRbj4-emfkAoQqnd5INABhDw8EOoKHvP63dgUuwh4NGZju6u3KusSIWP3kGvZk8NemPMDJ6nJjafc-eoFvRTKWY64Inxq9dmXS4mMIT32l-rTk-0/s1600/Threatlandscape+-+by+Country+-+CyberIntelligence.png" height="260" width="400" /></a></div>
<br />
<br />
<br />
Menu 1 (option 2) : Threat landscape - by Geography- This module will ingest external (or Internet facing) IP addresses from Internal / external URLs and map them back to exact location. This option compliments the above - in case an organisation has multiple offices in geography, they could zoom in and consider controls for a specific location.<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEimcEiTfXigyiFQnFgWgNQh1RMOu3up91Cz9vPalqAQcnOCCJX0aye91Q2kLqT6M3_k6VwRNCVpv1A7ecTJhKc1i-oOgqvVqWJH2fZNfCe1dNwYfiNjskVBrsXlMc8YFa8kU9m3SOW8otI/s1600/Threatlandscape+-+by+Geography+-+CyberIntelligence.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEimcEiTfXigyiFQnFgWgNQh1RMOu3up91Cz9vPalqAQcnOCCJX0aye91Q2kLqT6M3_k6VwRNCVpv1A7ecTJhKc1i-oOgqvVqWJH2fZNfCe1dNwYfiNjskVBrsXlMc8YFa8kU9m3SOW8otI/s1600/Threatlandscape+-+by+Geography+-+CyberIntelligence.png" height="192" width="400" /></a></div>
<br />
<br />
Menu 1 (option 3): Vulnerability Feeds- This module will ingest "user-specified" external (or Internet facing) RSS feeds and generates a table. At the moment, the table can be used more on a <strong>tactical </strong>side (for e. a new 0-day got released), instead of Strategic (for e.g. which software or vendors have got more issues or timeline etc).<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhDrNxPJNUF8ZR33H53uF6cB2J8DPyMC5j0uXGSrDhlQQHxe6ixSy2_FFAYLnKUOznOu41FkUbCP4H2DZGL1EXdyev1LQxmr3Cz2NLBDMGahW_rKfTcQVbB7S7EvPFeyqv974mSJxgKufQ/s1600/Vulnerability+Feeds+-+CyberIntelligence.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhDrNxPJNUF8ZR33H53uF6cB2J8DPyMC5j0uXGSrDhlQQHxe6ixSy2_FFAYLnKUOznOu41FkUbCP4H2DZGL1EXdyev1LQxmr3Cz2NLBDMGahW_rKfTcQVbB7S7EvPFeyqv974mSJxgKufQ/s1600/Vulnerability+Feeds+-+CyberIntelligence.png" height="261" width="400" /></a></div>
<br />
<br />
Menu 1 (option 4) : Top 50 suspicious IPs - This module will reach to websites (for e.g. Stopbadware) and pull information about known blacklisted IPs, along with a rational - for e.g. number of malware URLs (along with ASN and Owner detail) associated with an IP.<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhXGHobBSxPQs_WfPxrk8DmJXeAnWbxvNxbUR1wyqOuTYwkCSWcwMwH58Vf1w0SHUlwvdQo7bXHI4UK3dNbPVq7mY7gyEK1KZlSxmYBiYk0H6hSoqj2UGoi-txV285lrFzDZqhMmZZYeQw/s1600/Suspicious+IPs+-+CyberIntelligence.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhXGHobBSxPQs_WfPxrk8DmJXeAnWbxvNxbUR1wyqOuTYwkCSWcwMwH58Vf1w0SHUlwvdQo7bXHI4UK3dNbPVq7mY7gyEK1KZlSxmYBiYk0H6hSoqj2UGoi-txV285lrFzDZqhMmZZYeQw/s1600/Suspicious+IPs+-+CyberIntelligence.png" height="216" width="400" /></a></div>
<br />
<br />
Menu 1 (option 5): Suspicious ASN - This module will reach to websites (for e.g. Stopbadware) and pull information about ASNs associated with malware related activities. The representation is then performed via a bubble chat. For reference, larger bubble would mean, ratio of number of malware URLs to number of IPs on that ASN is high!<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi3H0iknDaz0_WIAMU5SWbBNZrV0B3ELbiq09bjfpDribXeg8g9PUUozvTKZ-AmYb07bl2ZtwhUWtnrB7HSHfWrS-TtVh3eePd-fHW60_bRWUW7NU45NX50Kp7gF-LTGRv5VIdSgk5ajnk/s1600/Suspicious+ASNs+-+CyberIntelligence.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi3H0iknDaz0_WIAMU5SWbBNZrV0B3ELbiq09bjfpDribXeg8g9PUUozvTKZ-AmYb07bl2ZtwhUWtnrB7HSHfWrS-TtVh3eePd-fHW60_bRWUW7NU45NX50Kp7gF-LTGRv5VIdSgk5ajnk/s1600/Suspicious+ASNs+-+CyberIntelligence.png" height="221" width="400" /></a></div>
<br />
<br />
Menu 1 (Option 6) - Malware Intelligence - The module will reach onto public sources to gather information about certain keywords and generates a "motion timeline" of malwares associated to the keywords.<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhaBxIo7ensUh5kduL-eOuDyCdbpOk4UCUYidqfSOxHNzfHdtpuN0m1K79u7OWnqdImoKtjN72mZlch-3ZzY0iMtCMk92IsUgQ1l0pMRcmAZlsuVeN9V6i46CU0LljA3ey_YrSIBh1fm5E/s1600/MalwareIntelligence+-+MotionTimeline+-+CyberIntelligence.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhaBxIo7ensUh5kduL-eOuDyCdbpOk4UCUYidqfSOxHNzfHdtpuN0m1K79u7OWnqdImoKtjN72mZlch-3ZzY0iMtCMk92IsUgQ1l0pMRcmAZlsuVeN9V6i46CU0LljA3ey_YrSIBh1fm5E/s1600/MalwareIntelligence+-+MotionTimeline+-+CyberIntelligence.png" height="225" width="400" /></a></div>
<br />
<br />
<br />
<br />
<br />
Menu 2 (Option 1) - Keyword based malware intelligence - This module will reach onto public source to gather information about "user-specified" keywords linked to malware samples.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj9KY1JgFFwf5gbKNPcdP8O1FW-1Pv0rO0ps9HTOmJTaNLQPL17CR8ZDVh5vAhr6RpN1MC-Di89jX4FXgWCMxtg1qF8nEiyKCcNigsnC76nbOIg6hr7rMBWupSHvQfmzPd9VfgYnEaq5bs/s1600/Keyword+based+Intelligence+-+CyberIntelligence.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj9KY1JgFFwf5gbKNPcdP8O1FW-1Pv0rO0ps9HTOmJTaNLQPL17CR8ZDVh5vAhr6RpN1MC-Di89jX4FXgWCMxtg1qF8nEiyKCcNigsnC76nbOIg6hr7rMBWupSHvQfmzPd9VfgYnEaq5bs/s1600/Keyword+based+Intelligence+-+CyberIntelligence.png" height="147" width="320" /></a></div>
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<br />
Menu 2 (Option 2) - Keyword based search intelligence - This module will reach onto Google to extract websites (and IPs) hosting information about the user-specified keyword, and map it back to geo-location. This module could be useful if an organisation wants to keep a closer look on phishing websites targeting their customers.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiBgOjiHi9VNcdz1FdusmnpH-JAfTIpryruk-MnnE71L5eGSE9KmMy13nXwneQq9imNr8O5lYLwerKRUXubscAr0SOqBj_ea7iKGG8c9RnsDlZX0kZ37WpG7MC30jlFIaoYXdBHDvNRMrk/s1600/Keyword+based+Search+Intelligence+-+CyberIntelligence.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiBgOjiHi9VNcdz1FdusmnpH-JAfTIpryruk-MnnE71L5eGSE9KmMy13nXwneQq9imNr8O5lYLwerKRUXubscAr0SOqBj_ea7iKGG8c9RnsDlZX0kZ37WpG7MC30jlFIaoYXdBHDvNRMrk/s1600/Keyword+based+Search+Intelligence+-+CyberIntelligence.png" height="178" width="320" /></a></div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj0rLhx0goCzjCYc08_e-RE5k4HffvPqUugKeWfVhaNe2d7y5DPZBnmTsjKBUghAnCWVUG4cFuZe3ZJpUrR_VFWPEnShB9OOdn4V4zC924a_qZE5j6hf_2huXQFiOd8fM3PeZDeHW7O8Us/s1600/Keyword+based+Intelligence+-+CyberIntelligence.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><br /></a></div>
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<br />
The menu (3) - which is <u>not added on the dashboard yet</u>, is about IP address based intelligence. The module basically pulls information about "user-specified" IP list/file from public sources for e.g. DNS records, associated malware URLs, malware files & associated HTTP/TCP/DNS connections, and generates "bird-eye" and "detailed" information graphs with correlation.<br />
<br />
For reference, blue dot represents - an IP address, Purple dot represents - a DNS record , Orange dot represents -URL associated with a malware and Red rectangle represents - the malware sample associated with an IP address.<br />
<br />
Here is the sample video -<br />
<br />
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<iframe allowfullscreen='allowfullscreen' webkitallowfullscreen='webkitallowfullscreen' mozallowfullscreen='mozallowfullscreen' width='320' height='266' src='https://www.youtube.com/embed/V4LWjYEZspc?feature=player_embedded' frameborder='0'></iframe></div>
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Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3031878898096853323.post-57326376410131509852014-02-08T18:04:00.002-08:002014-02-08T18:04:44.436-08:00Preview - Hook Analyser 3.1 : Cyber Threat Intelligence ModuleFriends,<br />
<br />
It's been sometime since I blogged about the upcoming version of Hook Analyser, i.e. v 3.1.<br />
<br />
To give a quick update, following are improvements / features added -<br />
<br />
<br />
<ol>
<li>Static malware analysis module has been updated - included a feature to identify (and extract certificate) digitally signed malware</li>
<li>Threat Intelligence module has been updated, along with a new dashboard (refer to the following video)</li>
<li>Bug fixes.</li>
</ol>
<div>
<br /></div>
<div>
To give a look & feel of the new (Threat Intelligence) dashboard, I've created a short video - </div>
<div>
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
<iframe allowfullscreen='allowfullscreen' webkitallowfullscreen='webkitallowfullscreen' mozallowfullscreen='mozallowfullscreen' width='320' height='266' src='https://www.youtube.com/embed/uN0RI9rAo58?feature=player_embedded' frameborder='0'></iframe></div>
<div>
<br /></div>
<div>
As always, if you've any specific feedback on the tool or on a particular module, please do not hesitate to <a href="mailto:beenudel1986@gmail.com" target="_blank">contact</a>.</div>
<div>
<br /></div>
<div>
<br /></div>
Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3031878898096853323.post-57027963625921904852013-12-19T00:05:00.003-08:002014-01-07T11:36:40.400-08:00Hook Analyser 3.0 (with Cyber Threat Intelligence)Friends,<br />
<br />
Here is the new release of Hook Analyser project.<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjLYWMgxZv8n2-d95a2yJpioDxvdWU7vSgctO3bz89MazF0HlpIY7RuAy7fzpuiFReDLesYGYF3xgr2BmApe6ei4gi-xh0Esn_f1IWxVgqNAHmE6Yug4CZ8Z_2rHaRpZ44rjGTT9TdFMIg/s1600/Hook+Analyser+3.0.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjLYWMgxZv8n2-d95a2yJpioDxvdWU7vSgctO3bz89MazF0HlpIY7RuAy7fzpuiFReDLesYGYF3xgr2BmApe6ei4gi-xh0Esn_f1IWxVgqNAHmE6Yug4CZ8Z_2rHaRpZ44rjGTT9TdFMIg/s400/Hook+Analyser+3.0.png" height="203" width="400" /></a></div>
<br />
In terms of improvements, a new module has been added - <b>Cyber Threat Intelligence</b>. Threat Intel module is being created to gather and analyse information related to Cyber Threats and vulnerabilities.<br />
<br />
The module can be run using HookAnalyser.exe (via Option 6 ), or can be run directly.<br />
<br />
The module present information on a web browser (with dashboard alike representation) with the following sections -<br />
<br />
<br />
<ol>
<li>Threat Vectors - by (%) Country</li>
<li>Threat Vectors - by Geography </li>
<li>Malware Intelligence (Beta) 2013 <b>(New! - added on 30/12/2013)</b></li>
<li>Vulnerability / Threat Feed.</li>
</ol>
Project documentation - <a href="http://goo.gl/SO5eWU" target="_blank">Click Here</a><br />
<br />
Here is the screenshot of the [<b>Updated </b>- 30/12/2013] <b>Cyber Threat Intelligence dashboard </b>-<br />
<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhvV-G48l4u5CJETDgIMtSdvP1WUKurpSpCYTJgSkTWbBjU6_RVupef59ZU-EGYMweTFntKA7g-GRbRLzxcYZ5hgskg2MWD_dMGXsP1ElDahWRmobG93sVXi1f_V1O7_oLoM9fPIdhgd2k/s1600/Hook+Analyser+3.0+-+Improved.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhvV-G48l4u5CJETDgIMtSdvP1WUKurpSpCYTJgSkTWbBjU6_RVupef59ZU-EGYMweTFntKA7g-GRbRLzxcYZ5hgskg2MWD_dMGXsP1ElDahWRmobG93sVXi1f_V1O7_oLoM9fPIdhgd2k/s320/Hook+Analyser+3.0+-+Improved.png" height="163" width="320" /></a></div>
<br />
<br />
To download the project - <a href="http://goo.gl/XkAyU" target="_blank">Click Here</a><br />
<br />
<b>Update - </b><br />
<br />
<ul>
<li>08/1/2014: Project development <a href="http://osthreatintel.blogspot.in/2014/01/keyword-based-cyber-intelligence.html" target="_blank">status/update</a></li>
<li>30/12/2013: Fixed a defect in the ThreatIntel module. Added Malware Intelligence (Beta) into the dashboard.</li>
<li> 21/12/2013: Fixed a defect in the ThreatIntel module. Thanks to Darren Fitzpatrick for reporting it.</li>
</ul>
<br />
<br />Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3031878898096853323.post-82280548505573327422013-12-18T02:49:00.000-08:002013-12-18T02:49:07.266-08:00Preview - Hook Analyser 3.0Mates,<br />
<br />
This is probably one of the major releases after a few months. A lot of features have been added, with an additional "<b>Major</b>" feature update.<br />
<br />
As I don't want to steal the thunder by myself, I will let you play with it once I release it :)<br />
<br />Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3031878898096853323.post-55380825847932754542013-09-20T22:40:00.002-07:002013-09-20T22:40:50.247-07:00Hook Analyser 2.6 releasedMates,<br />
<br />
I'm glad to announce release of the Hook Analyser v2.6.<br />
<br />
Following is the change log -<br />
<ol>
<li>Added new signatures (and removed redundant ones) </li>
<li>Bug fixes - Many thanks for community users to reporting them.</li>
<li>Fixed start-up error. </li>
</ol>
<br />
<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhyQYjHwSmV0pMuV1Ta_JYB6hBsqZg5acUVa_FrWhyphenhyphenPLivjAjdCtHggCjxiyAr8O4kEkd6Tbc1CsfYNOMS2zf9MJQh7ybwRiSMZpquUxJBV56I2CaB1iNhAsuNeOhhDIIvGHzDgOIOcXoQ/s1600/HookAnalyser2.6.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhyQYjHwSmV0pMuV1Ta_JYB6hBsqZg5acUVa_FrWhyphenhyphenPLivjAjdCtHggCjxiyAr8O4kEkd6Tbc1CsfYNOMS2zf9MJQh7ybwRiSMZpquUxJBV56I2CaB1iNhAsuNeOhhDIIvGHzDgOIOcXoQ/s400/HookAnalyser2.6.jpg" /></a></div>
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<b>Download link - <a href="http://goo.gl/XkAyU" target="_blank">Click Here</a></b>Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3031878898096853323.post-87692652397100516562013-05-12T05:14:00.001-07:002013-05-12T05:25:17.107-07:00Hook Analyser 2.5 ReleasedFriends - Here is the latest version of Hook Analyser project.<br />
<br />
Updates -<br />
<br />
<ol>
<li>Hook Analyser can now perform XOR bruteforce on "encoded/obfuscated" executables. </li>
<li>Deep search improved (new signatures added). </li>
<li>Bug fixes.</li>
</ol>
<br />
Download link - <a href="http://goo.gl/XkAyU" target="_blank">Click Here</a><br />
<br />
<img alt="" height="232" src="data:image/png;base64,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" width="400" /><br />
For the project summary, please feel free to browse <a href="http://hookanalyser.blogspot.com.au/2013/03/hook-analyser-24-released.html" target="_blank">here</a> Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3031878898096853323.post-18737181078095893932013-03-02T01:27:00.001-08:002013-03-02T01:27:26.980-08:00Hook Analyser 2.4 ReleasedFriends,<br />
<br />
I'm quite excited to announce that the Hook Analyser v2.4 is finally out. There has been quite a lot improvement in this release such as -<br />
<br />
<ol>
<li>Hook Analyser can now analyse DLLs. (Part of the Static Malware Analysis Module)</li>
<li>The deep trace functionality has been improved significantly, and now it supports searching (and logging) for traces such as Shellcodes, Filenames, WinSockets, Compiler Traces etc.(Part of the Static Malware Analysis Module)</li>
<li>Exe extractor - This is one of the feature which is useful for incident handlers, essentially allows dumping of executables from process/s, which could then be analysed using Hook Analyser, <a href="http://malwareanalyser.com/" target="_blank">Malware Analyser</a> or other tools for anomalies check. (New module added)</li>
<li>The static malware analysis has been further improved, and new features have been added. I will let you explore this.(Part of the Static Malware Analysis Module)</li>
<li>Minor bug fixes.</li>
</ol>
<b>Download Link</b> - <a href="http://goo.gl/7kouG" target="_blank">Click Here</a><br />
<br />
<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiy2kcEaaBkKazERFYFnt6_ioW0L9SwmArZBGVZlEHZ0AYvqZ0U5HMj5Qy6wd-GfY6Ghis3Eo57K0S_hy2zYBhi2Bz9WdLVQQFTj7mGz-5A-WcISwwYI5rSrYYT0GuZ6Vkei0bFSAF_esk/s1600/index.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="202" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiy2kcEaaBkKazERFYFnt6_ioW0L9SwmArZBGVZlEHZ0AYvqZ0U5HMj5Qy6wd-GfY6Ghis3Eo57K0S_hy2zYBhi2Bz9WdLVQQFTj7mGz-5A-WcISwwYI5rSrYYT0GuZ6Vkei0bFSAF_esk/s400/index.png" width="400" /></a></div>
<br />
Again, I am thankful to the wider community for being complimentary on this project, and perhaps the reason why this release has been expedited. As always, would appreciate your continual support, and please feel free to write me back on beenudel1986@gmail.com if you've any feedback or anything related to security.<br />
<br />
To summarise this project -<br />
<br />
This has now five (5) key functionalities -<br />
<br />
<ol>
<li>Spawn and Hook to Application - This feature allows analyst to spawn an application, and hook into it. The module flow is as following - </li>
<ol>
<li>PE validation</li>
<li>Static malware analysis.</li>
<li>Other options (such as pattern search or dump all)</li>
<li>Type of hooking (Automatic, Smart or manual)</li>
<li>Spawn and hook</li>
</ol>
</ol>
Currently, there are three types of hooking being supported –<br />
<ul>
<li>Automatic – The tool will parse the application import tables, and based upon that will hook into specified APIs</li>
<li>Manual – On this, the tool will ask end-user for each API, if it needs to be hooked.</li>
<li>Smart – This is essentially a subset of automatic hooking however, excludes uninteresting APIs.</li>
</ul>
2. Hook to a specific running process-The option allows analyst to hook to a running (active) process. The program flow is –<br />
<ol style="margin-left: 40px;">
<li>List all running process</li>
<li>Identify the running process executable path.</li>
<li>Perform static malware analysis on executable (fetched from process executable path)</li>
<li>Other options (such as pattern search or dump all)</li>
<li>Type of hooking (Automatic, Smart or manual)</li>
<li> Hook to a specific running process</li>
<li>Hook and continue the process </li>
</ol>
3. Static Malware Analysis - This module is one of the most interesting and useful module of Hook Analyser, which performs scanning on PE or Widows executables to identify potential malware traces. The sub-components have been mentioned below (and this is not the full list) - <br />
<br />
<ol style="margin-left: 40px;">
<li>PE file validation</li>
<li>CRC and timestamps validation</li>
<li>PE properties such as Image Base, Entry point, sections, subsystem</li>
<li>TLS entry detection.</li>
<li>Entry point verification (if falls in suspicious section)</li>
<li>Suspicious entry point detection</li>
<li>Packer detection </li>
<li>Signature trace (extended from malware analyser project), such as Anti VM aware, debug aware, keyboard hook aware etc. This particular function searches for more than 20 unique malware behaviours (using 100’s of signature).</li>
<li>Import intel scanning. </li>
<li>Deep search (module)<br />Online search of MD5 (of executable) on Threat Expert.</li>
<li>String dump (ASCII)</li>
<li>Executable file information</li>
<li>Hexdump</li>
<li>PEfile info dumping</li>
<li>...and more.</li>
</ol>
4. Application crash analysis - This module enables exploit researcher and/or application developer to analyse memory content when an application crashes.This module essentially displays data in different memory register (such as EIP).<br />
<ul>
<li>Application crash analysis video demonstration – http://www.youtube.com/watch?v=msYo7pPsu6A</li>
</ul>
5. Exe extractor - This module essentially extracts executables from running process/s, which could then be further analysed using Hook Analyser , <a href="http://malwareanalyser.com/" target="_blank">Malware Analyser</a> or other solutions. This module is potentially useful for incident respondersUnknownnoreply@blogger.com0tag:blogger.com,1999:blog-3031878898096853323.post-16205293227272651352013-02-27T01:33:00.003-08:002013-02-27T01:36:23.638-08:00Hook Analyser 2.4 - PreviewFolks,<br />
<br />
Thought of sharing some of the updates on the Hook Analyser v2.4. The build is in-progress, and I'm targeting for first week of March, for the release.<br />
<br />
The new version will support the following -<br />
<br />
<ol>
<li>Dll Analysis - Now one could analyse DLL as well. This is part of static malware analysis module.</li>
<li>Exe extractor - This module allows dumping executable from an active process. This also has an option to dump all executables, on running processes. This is a new module, and is in testing phase.</li>
<li>Deep search module - The deep search module has been re-written, and can be used to search for filename, paths,compiler patterns, backdoor patterns,shellcode etc. This is part of static malware analysis module. </li>
</ol>
I will talk more about the modules, once I release it.<br />
<br />
Till then, <a href="http://hookanalyser.blogspot.com.au/2013/02/hook-analyser-23-released.html" target="_blank">please continue using the v 2.3 here</a><br />
<br />
<br />
Screenshot of the new version (Hook Analyser v2.4) -<br />
<br />
<img alt="" height="325" src="data:image/png;base64,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" width="640" /> <br />
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<img alt="" height="640" 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" width="602" /><br />
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<br />Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3031878898096853323.post-74220439071775062692013-02-14T03:54:00.001-08:002013-02-14T03:54:05.024-08:00Hook Analyser 2.3 - ReleasedFolks,<br />
<br />
Here is the new release of the Hook Analyser, v2.3.<br />
<br />
Some of the updates/modules in the new release -<br />
<br />
<ol>
<li>New digger module - Allows <span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: EN-AU; mso-bidi-language: AR-SA; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-AU;">dumping exes, dlls, and drivers from an
executable to separate files.</span> </li>
<li>Packer detection module. </li>
<li>Hexdump module. </li>
</ol>
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjMsvjdEK5W0TArj2MpYkk6x9iodHf0h1M2gPk7Z5B_TYc2kHe3i80eKM9Btcb6g19R_yba6SJ7eTqd6ThKjqTs4h_LsfyxzV6qOKIw2LBB5UbYWFbeetLptS_lGGZ4TtBiqyKFu2NkzBc/s1600/HookAnalyser2.3+-+Pics.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="192" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjMsvjdEK5W0TArj2MpYkk6x9iodHf0h1M2gPk7Z5B_TYc2kHe3i80eKM9Btcb6g19R_yba6SJ7eTqd6ThKjqTs4h_LsfyxzV6qOKIw2LBB5UbYWFbeetLptS_lGGZ4TtBiqyKFu2NkzBc/s320/HookAnalyser2.3+-+Pics.png" width="320" /></a></div>
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhhzVyqLH2VoRNtRY6aYyHmJS5ULW041EfNPErRvs-J6kciJkthY1629Bf3uXTyHqY_V-e5_V45VSNeEKfdv1Z8Lvg-epGdXn8h0yCCbY7k1ydxcFeGJ2b4TztQZBaGKtSp-y5fdgdESVE/s1600/HookAnalyser2.3+-+Pics+-1+.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="192" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhhzVyqLH2VoRNtRY6aYyHmJS5ULW041EfNPErRvs-J6kciJkthY1629Bf3uXTyHqY_V-e5_V45VSNeEKfdv1Z8Lvg-epGdXn8h0yCCbY7k1ydxcFeGJ2b4TztQZBaGKtSp-y5fdgdESVE/s320/HookAnalyser2.3+-+Pics+-1+.png" width="320" /></a></div>
<br />
Features of the project are -<br />
<br />
<ol>
<li>Spawn and Hook to Application - This feature allows analyst to spawn an application, and hook into it</li>
<li>Hook to a specific running process - The option allows analyst to hook to a running (active) process.</li>
<li>Perform quick static malware analysis - This module is one of the
most interesting and useful module of Hook Analyser, which performs
scanning on PE or Widows executable to identify potential malware
traces.</li>
<li>Application crash analysis - This module enables exploit researcher
and/or application developer to analyse memory content when an
application crashes. </li>
</ol>
<br />
<br />
Project Download - <a href="http://beenuarora.com/HookAnalyser2.3.zip" target="_blank">Click Here</a> <br />
<br />
Project Paper Download - <a href="http://beenuarora.com/HookAnalyser.pdf" target="_blank">Click Here</a><br />
<br />
Feel free to write me back (beenudel1986@gmail.com) if you've any feedback or thoughts.Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3031878898096853323.post-17655340362081459262013-01-27T23:19:00.001-08:002013-01-27T23:25:53.330-08:00Hook Analyser 2.3 - PreviewHi Folks,<br />
<br />
Thought of sharing some of the updates I've been working on the new release of Hook Analyser 2.3.<br />
<br />
The focus has been primarily on the <b>malware analysis module.</b><br />
<br />
Many thanks to Mila (<a href="http://contagiodump.blogspot.com.au/" target="_blank">Home</a>) for reviewing and appreciating this tool.<br />
<br />
Some of the updates/modules (and status) in the new release -<br />
<br />
<ol>
<li><b>New digger module</b> - Allows <span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: EN-AU; mso-bidi-language: AR-SA; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: EN-AU;">dumping exes, dlls, and drivers from an
executable to separate files</span> - <b>Completed</b></li>
<li><b>Packer detection module</b> - <b>Completed</b></li>
<li><b>Hexdump module</b> - <b>Completed</b></li>
<li><b>Code Analysis</b> - Disassemble an executable- <b>In-testing</b></li>
<li><b>Bug fixes</b> and minor improvements. <b>In-progress</b></li>
<li><b>Batch analysis</b> - <b>To be started</b></li>
</ol>
<br />
Here are the screenshots -<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjMsvjdEK5W0TArj2MpYkk6x9iodHf0h1M2gPk7Z5B_TYc2kHe3i80eKM9Btcb6g19R_yba6SJ7eTqd6ThKjqTs4h_LsfyxzV6qOKIw2LBB5UbYWFbeetLptS_lGGZ4TtBiqyKFu2NkzBc/s1600/HookAnalyser2.3+-+Pics.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjMsvjdEK5W0TArj2MpYkk6x9iodHf0h1M2gPk7Z5B_TYc2kHe3i80eKM9Btcb6g19R_yba6SJ7eTqd6ThKjqTs4h_LsfyxzV6qOKIw2LBB5UbYWFbeetLptS_lGGZ4TtBiqyKFu2NkzBc/s400/HookAnalyser2.3+-+Pics.png" width="400" /></a></div>
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhhzVyqLH2VoRNtRY6aYyHmJS5ULW041EfNPErRvs-J6kciJkthY1629Bf3uXTyHqY_V-e5_V45VSNeEKfdv1Z8Lvg-epGdXn8h0yCCbY7k1ydxcFeGJ2b4TztQZBaGKtSp-y5fdgdESVE/s1600/HookAnalyser2.3+-+Pics+-1+.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><br /></a><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhhzVyqLH2VoRNtRY6aYyHmJS5ULW041EfNPErRvs-J6kciJkthY1629Bf3uXTyHqY_V-e5_V45VSNeEKfdv1Z8Lvg-epGdXn8h0yCCbY7k1ydxcFeGJ2b4TztQZBaGKtSp-y5fdgdESVE/s1600/HookAnalyser2.3+-+Pics+-1+.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhhzVyqLH2VoRNtRY6aYyHmJS5ULW041EfNPErRvs-J6kciJkthY1629Bf3uXTyHqY_V-e5_V45VSNeEKfdv1Z8Lvg-epGdXn8h0yCCbY7k1ydxcFeGJ2b4TztQZBaGKtSp-y5fdgdESVE/s400/HookAnalyser2.3+-+Pics+-1+.png" width="400" /> </a></div>
<br />
<br />
<div style="text-align: left;">
In the mean time feel free to give a shot to Hook Analyser 2.2 - <a href="http://hookanalyser.blogspot.com.au/2012/12/hook-analyser-22-release.html" target="_blank">Click Here</a></div>
Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3031878898096853323.post-36319790854982172782012-12-24T03:36:00.002-08:002012-12-26T21:59:27.880-08:00Hook Analyser 2.2 - Release Here is the latest version of the hook analyser for download.<br />
<br />
Features of the project are -<br />
<br />
<ol>
<li>Spawn and Hook to Application - This feature allows analyst to spawn an application, and hook into it</li>
<li>Hook to a specific running process - The option allows analyst to hook to a running (active) process.</li>
<li>Perform quick static malware analysis - This module is one of the most interesting and useful module of Hook Analyser, which performs scanning on PE or Widows executables to identify potential malware traces.</li>
<li>Application crash analysis - This module enables exploit researcher and/or application developer to analyse memory content when an application crashes. </li>
</ol>
<br />
Project Paper - <a href="http://beenuarora.com/HookAnalyser.pdf" target="_blank">Click Here</a><br />
<br />
Change log -<br />
<br />
<ul>
<li>The UI and modules of the project have been re-written. The interactive mode is more verbose.</li>
<li>The (static) malware analysis module has been enhanced.</li>
<li>Bug fixes and other improvements.</li>
</ul>
<br />
Screenshot -<br />
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg0mS-Wvm1QA7jaZ8ASVX-4zr3oPdOzxKZOyhSyZUotMPvXTkDPv9WwpkhlmE1HrDM7IBq5qocqUSKWJu4OoAeNAU9uJZDVL2EEi2BEyCDCR5-vx0zjvyNPKU-g0eVqzSGEbSkbS25C0xc/s1600/HK2.2.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="225" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg0mS-Wvm1QA7jaZ8ASVX-4zr3oPdOzxKZOyhSyZUotMPvXTkDPv9WwpkhlmE1HrDM7IBq5qocqUSKWJu4OoAeNAU9uJZDVL2EEi2BEyCDCR5-vx0zjvyNPKU-g0eVqzSGEbSkbS25C0xc/s400/HK2.2.png" width="400" /></a><br />
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Download link - <a href="http://beenuarora.com/HookAnalyser2.2.zip" target="_blank">Click Here</a><br />
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<br />Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3031878898096853323.post-46741029540447900372012-10-31T04:28:00.000-07:002012-10-31T04:28:03.647-07:00Hook Analyser 2.1 - Exploit AnalysisHere is the demonstration video of the Hook Analyser 2.1 exploit analysis module.<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<iframe allowfullscreen='allowfullscreen' webkitallowfullscreen='webkitallowfullscreen' mozallowfullscreen='mozallowfullscreen' width='320' height='266' src='https://www.youtube.com/embed/msYo7pPsu6A?feature=player_embedded' frameborder='0'></iframe></div>
<br />
Please feel free to contact me if you've any query or feedback for this project.<br />
<br />Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3031878898096853323.post-23604669032987783792012-10-22T04:51:00.001-07:002012-10-23T12:50:28.064-07:00Hook Analyser 2.1 - ReleaseIt's been a while since I released any updated on this project. Finally got some time last weekend, to work on some updates,and here is the latest version.<br />
<br />
Changes -<br />
<br />
<ol>
<li>Improved the UI.</li>
<li>Added exploit Analysis module.</li>
</ol>
For any bugs or any improvement suggestions, you may contact on beenudel1986@gmail.com<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a 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" 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" width="640" /></a></div>
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<span style="background-color: white;"><a href="http://beenuarora.com/HookAnalyser2.1.zip" target="_blank">Download Link</a></span><br />
<br />Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3031878898096853323.post-20322928880241997542012-06-26T23:07:00.002-07:002012-06-26T23:12:59.716-07:00Hook Analyser 2.0 - ReleaseThis is one of the major release for this project. Some of the new features that have been added in this release are - <br />
<br />
<ol>
<li>Static analysis functionality has got improved significantly.</li>
<li>Nice fingerprinting feature (part of the static analysis module).</li>
<li>Analysis and logging modules have improved.</li>
<li>No more annoying browser pop-ups (previous releases had some).</li>
</ol>
Feel free to contact me directly for further improvements or bugs - beenudel1986@gmail.com<br />
<br />
Download link - <a href="http://beenuarora.com/HookAnalyser2.0.zip" target="_blank">Click Here</a><br />
<br />
Screenshot - <br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgOL91oo59aNbjscsHVBYaxXtVAoc4j9qwiVlQNMsIGhBQpZWxqRhm-kZT70fMt7gJqbGCqLvlo7pYCErnqFBemB2GFCdmy7zNg4UphpPaHVaMru_zV8qw2nbh9lwQkY2e-XZqWUtAEKc0/s1600/Pic.PNG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="211" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgOL91oo59aNbjscsHVBYaxXtVAoc4j9qwiVlQNMsIGhBQpZWxqRhm-kZT70fMt7gJqbGCqLvlo7pYCErnqFBemB2GFCdmy7zNg4UphpPaHVaMru_zV8qw2nbh9lwQkY2e-XZqWUtAEKc0/s320/Pic.PNG" width="320" /></a></div>
<br />Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3031878898096853323.post-66871323354112190022012-04-04T04:51:00.003-07:002012-04-15T04:58:27.557-07:00Hook Analyser 1.4 - ReleaseFinally I got some time after 4 months to work a bit on this project. So, here is the version 1.4.<br />
<div>Features -</div><div><br />
<ul><li>Output log file parsing for quick analysis</li>
<li>Improved hooking. Can hook to spawned process/es and running process.</li>
<li>Bug fixes</li>
</ul></div><div><br />
</div><div>What this version doesn't have -</div><div>Integration with VMware for automated analysis on virtual machine. That version of the tool is available only on request.</div><div><br />
</div><div>Download link : <a href="http://beenuarora.com/HookAnalyser1.4.zip" target="_blank">http://beenuarora.com/HookAnalyser1.4.zip</a></div><div><br />
</div>Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3031878898096853323.post-54893675793604343642011-11-26T02:37:00.000-08:002011-12-09T15:07:51.580-08:00Hook Analyser 1.4 updatesThe Hook Analyser 1.4 development is on full swing and I must say that code base has changed a lot. The overall functionality and UI has changed.<br />
<br />
Few updates from my side -<br />
<br />
<ul><li>Intergration with VMware workstation to automate the analysis tasks i.e - sandbox mode.</li>
<li>Improved hooking functionality</li>
<li>Detailed report from the analysis.</li>
<li>Bug fixes.</li>
</ul><br />
I will post some videos soon.<br />
<br />
Till then, stick to version 1.3.Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3031878898096853323.post-81448594471386597032011-11-19T13:57:00.000-08:002011-11-19T23:57:41.414-08:00Hook Analyser 1.4 - Development<div class="MsoNormal" style="margin-bottom: 0.0001pt;"><span style="font-family: 'Times New Roman', serif;">I had request from a few people asking, how this tool could be used for malware analysis. Since I'm currently working on the next release, so I decided to analyse a malware sample using Hook Analyser 1.4 (in development).<o:p></o:p></span></div><div class="MsoNormal" style="margin-bottom: 0.0001pt;"><br />
</div><div class="MsoNormal" style="margin-bottom: 0.0001pt;"><span style="font-family: 'Times New Roman', serif;">Please note; this release is not stable at the moment and I advice to continue using version 1.3 if you need to. <o:p></o:p></span></div><div class="MsoNormal" style="margin-bottom: 0.0001pt;"><br />
</div><div class="MsoNormal" style="margin-bottom: 0.0001pt;"><span style="font-family: 'Times New Roman', serif;">Some of the interesting information I was able to extract -<o:p></o:p></span></div><div class="MsoNormal" style="margin-bottom: 0.0001pt;"><br />
</div><div class="MsoNormal" style="margin-bottom: 0.0001pt;"><span style="font-family: 'Times New Roman', serif;">File system indicators<o:p></o:p></span></div><div class="MsoNormal" style="margin-bottom: 0.0001pt;"><span style="font-family: 'Times New Roman', serif;">Network indicators<o:p></o:p></span></div><div class="MsoNormal" style="margin-bottom: 0.0001pt;"><span style="font-family: 'Times New Roman', serif;">Malware compile platform<o:p></o:p></span></div><div class="MsoNormal" style="margin-bottom: 0.0001pt;"><span style="font-family: 'Times New Roman', serif;">Malware attribution (Pretty interesting)<o:p></o:p></span></div><div class="MsoNormal" style="margin-bottom: 0.0001pt;"><br />
</div><div class="MsoNormal" style="margin-bottom: 0.0001pt;"><span style="font-family: 'Times New Roman', serif;">Hook Analyser log files (generated during malware analysis) - <a href="http://beenuarora.com/thanks/MalwareAnalysis-HookAnalyser1.4.zip" target="_blank">http://beenuarora.com/thanks/MalwareAnalysis-HookAnalyser1.4.zip</a><o:p></o:p></span></div><div class="MsoNormal" style="margin-bottom: 0.0001pt;"><br />
</div><div class="MsoNormal" style="margin-bottom: 0.0001pt;"><span style="font-family: 'Times New Roman', serif;">Analysis video - <span class="Apple-style-span" style="font-size: medium;"><o:p></o:p></span></span><br />
<span style="font-family: 'Times New Roman', serif; font-size: 13.5pt;"><br />
</span><br />
<div class="separator" style="clear: both; text-align: center;"><iframe allowfullscreen='allowfullscreen' webkitallowfullscreen='webkitallowfullscreen' mozallowfullscreen='mozallowfullscreen' width='320' height='266' src='https://www.youtube.com/embed/sdnRP90weT4?feature=player_embedded' frameborder='0'></iframe></div><span style="font-family: 'Times New Roman', serif; font-size: 13.5pt;"><br />
</span></div>Unknownnoreply@blogger.com0