Loading...
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.
Common questions about Sophos AI YaraML Rules Repository including features, pricing, alternatives, and user reviews.
Sophos AI YaraML Rules Repository is A tool that generates Yara rules from training data using logistic regression and random forest classifiers.. It is a Security Operations solution designed to help security teams with YARA, Rule Generation.
A tool that generates YARA rules to search for specific terms within base64-encoded malware samples by enumerating all possible encoding variations.
AutoYara is a Java tool that automatically generates YARA rules from malware samples using biclustering algorithms to help analysts create detection rules for malware families.
A tool for quick and effective Yara rule creation to isolate malware families and malicious objects.
Get strategic cybersecurity insights in your inbox