Android Malware Genome Project
To mitigate malware threats on mobile platforms (e.g., Android) and engage the research community to better our understanding and defense, we are happy to release our dataset to the community. For that purpose, if you are interested in getting access to our dataset, please read the following instructions carefully -- before sending us emails. (1) If you are currently in academia: (a) If you are a student (or postdoc), please ask your advisor (or host) to send us an email for the access. If you are a faculty, please send us the email from your university's email account. (b) In your email, please include your name, affiliation, and homepage (if we do not know each other). The information is needed for verification purpose. Note that your request may be ignored if we are not able to determine your identity or affiliation. Again, please send us the request from your university's email account. (c) If your papers or a
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A Go library for manipulating YARA rulesets with the ability to programatically change metadata, rule names, and more.
A tool that generates Yara rules for strings and their XOR encoded versions, as well as base64-encoded variations with different padding possibilities.
FLARE Obfuscated String Solver (FLOSS) automatically extracts and deobfuscates strings from malware binaries using advanced static analysis techniques.
Use FindYara, an IDA python plugin, to scan your binary with yara rules and quickly jump to matches.
Code to prevent a managed .NET debugger/profiler from working.
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