pralab/modsec-advlearn

Experiments for paper ModSec-AdvLearn: Countering Adversarial SQL Injections with Robust Machine Learning

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Emerging

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.

Web Application Firewall (WAF) SQL Injection Cybersecurity Research Penetration Testing Adversarial Machine Learning
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 8 / 25

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Stars

9

Forks

1

Language

Python

License

MIT

Last pushed

Jun 29, 2025

Commits (30d)

0

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