
exploitgym
ExploitGym is a large-scale, realistic benchmark built from real-world vulnerabilities designed to evaluate AI agents' ability to develop exploits.

ExploitGym is a large-scale, realistic benchmark built from real-world vulnerabilities designed to evaluate AI agents' ability to develop exploits.

Technical webinars on reverse engineering, malware analysis, and software protection.

Ethical, network-isolated Docker lab reproducing CVE-2026-26030 — Semantic Kernel in-memory vector store filter eval() RCE (patched in 1.39.4)

Reproducible AI-assisted vulnerability rediscovery of CVE-2026-42945 in nginx, including technical analysis, PoC trigger, and patch validation for…

CVE-2025-31337 Security Advisory - Critical Buffer Overflow in AI Chatbot Framework

Exploits for CVE-2024-14027 creating using AI/Claude as a test.

Official repository for CTFTiny

Evaluation framework for studying LLM agents that automatically generate working exploits from vulnerability reports, bypassing modern security…

LlamaStack-RCE: Deterministic Supply Chain Exploitation & Hardening Framework [CVE-2024-50050] Focus on AI Security Research…

Proof-of-concept exploit for CVE-2025-32434, a pickle deserialization vulnerability in PyTorch's weights_only mode, demonstrating malicious tar file…

A PoC for CVE-2024-3660. Arbitrary Code Execution in Keras.

This study analyzes Python pickle deserialization vulnerabilities, focusing on CVE-2024-3568 in Hugging Face Transformers' TFAutoModel. We reproduce…

Collection of CVE(work) on tenserflow binary pwning it