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Merge pull request #37 from proinsias/predict

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Add link to PREDICT
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Ryan Shipp 2016-01-21 13:23:14 -07:00
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@ -150,6 +150,11 @@ A curated list of awesome malware analysis tools and resources. Inspired by
* [OpenIOC](http://openioc.org/) - Framework for sharing threat intelligence.
* [Palevo Blocklists](https://palevotracker.abuse.ch/blocklists.php) - Botnet
C&C blocklists.
* [PREDICT](https://predict.org/default.aspx?cs_Category=2) - Protected
Repository for the Defense of Infrastructure Against Cyber Threats (PREDICT)
can quickly and easily provide qualified developers and evaluators with
regularly updated network operations data they can use in their cyber security
research.
* [Proofpoint Threat Intelligence (formerly Emerging Threats)](https://www.proofpoint.com/us/threat-intelligence-overview) -
Rulesets and more.
* [STIX - Structured Threat Information eXpression](http://stixproject.github.io) -
@ -241,7 +246,7 @@ A curated list of awesome malware analysis tools and resources. Inspired by
* [PDF Examiner](http://www.pdfexaminer.com/) - Analyse suspicious PDF files.
* [Recomposer](https://github.com/secretsquirrel/recomposer) - A helper
script for safely uploading binaries to sandbox sites.
* [SEE](https://github.com/F-Secure/see) - Sandboxed Execution Environment (SEE)
* [SEE](https://github.com/F-Secure/see) - Sandboxed Execution Environment (SEE)
is a framework for building test automation in secured Environments.
* [VirusTotal](https://www.virustotal.com/) - Free online analysis of malware
samples and URLs
@ -446,8 +451,8 @@ the [browser malware](#browser-malware) section.*
building a malware lab.
* [Malcom](https://github.com/tomchop/malcom) - Malware Communications
Analyzer.
* [Maltrail](https://github.com/stamparm/maltrail) - A malicious traffic
detection system, utilizing publicly available (black)lists containing
* [Maltrail](https://github.com/stamparm/maltrail) - A malicious traffic
detection system, utilizing publicly available (black)lists containing
malicious and/or generally suspicious trails and featuring an reporting
and analysis interface.
* [mitmproxy](https://mitmproxy.org/) - Intercept network traffic on the fly.
@ -577,7 +582,7 @@ the [browser malware](#browser-malware) section.*
* [Malware Samples and Traffic](http://malware-traffic-analysis.net/) - This
blog focuses on network traffic related to malware infections.
* [RPISEC Malware Analysis](https://github.com/RPISEC/Malware) - These are the
course materials used in the Malware Analysis course at at Rensselaer Polytechnic
course materials used in the Malware Analysis course at at Rensselaer Polytechnic
Institute during Fall 2015.
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