philippnormann/malicious-payload-detection
🕵️♂️ ML project to identify malicious web payloads, aimed at boosting the effectiveness of WAFs and IDSs.
This project helps web security professionals automatically identify malicious web payloads to strengthen their Web Application Firewalls (WAFs) and Intrusion Detection Systems (IDSs). It takes raw web request data, analyzes it, and determines if a payload is benign or malicious. This is designed for security analysts and operations engineers who manage and monitor web application security.
No commits in the last 6 months.
Use this if you need to improve the accuracy of your web application firewalls or intrusion detection systems in distinguishing between legitimate and attack-oriented web traffic.
Not ideal if you are looking for a complete, production-ready WAF or IDS product, as this project focuses specifically on the payload detection component.
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Last pushed
Apr 07, 2024
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