pralab/modsec-learn
Experiments for paper ModSec-Learn: Boosting ModSecurity with Machine Learning
This project helps security analysts enhance ModSecurity, a popular web application firewall, to better detect malicious web requests. It takes ModSecurity's rules and incoming web traffic as input, and outputs improved detection capabilities by integrating machine learning. Security professionals responsible for safeguarding web applications against cyber threats would use this.
No commits in the last 6 months.
Use this if you are a security analyst looking to improve the accuracy and effectiveness of your ModSecurity-based web application firewall.
Not ideal if you are looking for an out-of-the-box, ready-to-deploy solution without needing to configure ModSecurity or run experiments.
Stars
8
Forks
3
Language
Python
License
MIT
Category
Last pushed
Mar 25, 2025
Commits (30d)
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