YaYaGen is an automatic procedure that generates YARA rules based on Koodous reports, extracting analysis attributes to create a signature with limited false positives and high generality. The algorithm is detailed in the paper 'Countering Android Malware: a Scalable Semi-Supervised Approach for Family-Signature Generation'.
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A library of event-based analytics written in EQL to detect adversary behaviors, now integrated into the Detection Engine of Kibana.
A curated collection of Sigma & Yara rules and Indicators of Compromise (IOCs) for threat detection and malware identification.
Python-based client for IBM XForce Exchange with an improved version available.
Get insights into the latest cybersecurity trends and expert advice on enhancing organizational security.
NECOMA focuses on data collection, threat analysis, and developing new cyberdefense mechanisms to protect infrastructure and endpoints.
A summary of the threat modeling posts and final thoughts on the process
A database of Tor exit nodes with their corresponding IP addresses and timestamps.
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