protectai/ai-exploits resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1746 stars · 165 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of real-world AI/ML exploits and scanning templates for responsibly disclosed vulnerabilities in machine learning tools and infrastructure. It includes Metasploit modules, Nuclei templates, and CSRF templates targeting vulnerable ML components like Ray.

Use cases

• scan servers for known AI/ML infrastructure vulnerabilities
• test ML deployment security with metasploit modules
• find vulnerable machine learning tools in my environment
• learn what real attacks against ML pipelines look like
• check if my Ray cluster is exploitable
• build a security testing toolkit for AI systems

When to choose

• you are a security professional assessing AI/ML infrastructure
• you want Nuclei templates to scan for known ML tool CVEs
• you need to demonstrate practical AI supply-chain and infrastructure attacks to raise awareness

When to avoid

• you need defensive patches or fixes rather than exploit code
• you are looking for a general-purpose vulnerability scanner unrelated to ML
• you expect production-ready tooling with support guarantees

Facets

dataset · maturity active

penetration-testing vulnerability-scanning security security machine-learning penetration-testing artificial-intelligence python cli ai-security exploits metasploit-modules nuclei-templates ml-infrastructure vulnerability-disclosure docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="protectai/ai-exploits")