pralab/modsec-advlearn
Experiments for paper ModSec-AdvLearn: Countering Adversarial SQL Injections with Robust Machine Learning
This project helps security researchers and penetration testers evaluate the robustness of Web Application Firewalls (WAFs) against sophisticated SQL injection attacks. It takes a ModSecurity WAF configuration and a set of adversarial SQL injection payloads, then assesses how well the WAF's machine learning components detect these threats. The output helps security professionals understand their WAF's vulnerabilities and improve its defenses.
No commits in the last 6 months.
Use this if you need to test and harden your WAF's ability to block advanced SQL injection techniques that bypass traditional rules.
Not ideal if you are looking for a plug-and-play WAF solution or a simple tool for basic SQL injection detection.
Stars
9
Forks
1
Language
Python
License
MIT
Category
Last pushed
Jun 29, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/pralab/modsec-advlearn"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
stratosphereips/StratosphereLinuxIPS
Slips, a free software behavioral Python intrusion prevention system (IDS/IPS) that uses machine...
PowerLZY/Bold-Falcon
毕方智能云沙箱(Bold-Falcon)是一个开源的自动化恶意软件分析系统;
BBVA/waf-brain
Machine Learning WAF Based
hmishra2250/Botnet-Detection-using-Machine-Learning
Repository of Bachelor's Major Project on Botnet Detection
fabriziosalmi/nginx-waf-ai
Automatically detect threats and deploy WAF rules using machine learning