YaraML is a tool that automatically generates Yara rules from training data by translating scikit-learn logistic regression and random forest binary classifiers into the Yara language. Give YaraML a directory of malware files and a directory of benign files of any format and it'll extract substring features, downselect your feature space, train a model, and then "compile" the model and return it as a textual Yara rule. To get a feel for what this looks like, see the logistic regression Powershell detector generated by YaraML and given below.
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ALTERNATIVES
FSF is a modular, recursive file scanning solution that enables analysts to extend the utility of Yara signatures and define actionable intelligence within a file.
A serverless, real-time, and retroactive malware detection tool that scans files with YARA rules and alerts incident response teams.
A tutorial on setting up a virtual ARM environment, reversing ARM binaries, and writing basic exploits for ARM using the trafman challenge of rwthCTF as an example.
Assembler/disassembler for the dex format used by Dalvik, Android's Java VM implementation.
Educational resources for reverse engineering tutorials by lena151.
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