
vulnerable-container-hub
VULCONHUB provides access to files to build your own hands-on vulnerable container image to learn and practice security

VULCONHUB provides access to files to build your own hands-on vulnerable container image to learn and practice security



Hands-on AI security lab platform with 50+ scenarios across prompt injection, agentic system exploitation, model manipulation, and MCP trust boundary…

Finds internet-exposed resources in an AWS account

Runtime-aware SCA — proves which CVEs are actually reachable, not just installed.



A curated library of security prompts for AI-assisted security testing, threat modeling, and educational exercises.

Policy-governed LLMSecOps framework providing AST-based SAST, secret scanning, supply-chain and multi-cloud CSPM checks, AI-BoM generation, and CI/CD…

A practical framework identifying and prioritizing the top security risks in AI datacenter infrastructure, covering hardware, networking, management…

Open standard for documenting security-relevant metadata of AI models, including training data provenance, PII risk, known vulnerabilities, and…

Curated collection of payloads for ethical security testing and bug bounty hunting, covering common web vulnerabilities and attack vectors.

SecureML - Securing and Watermarking AL models

Structured evaluation criteria framework for assessing Web Application Firewalls (WAFs), enabling users, vendors, and third parties to compare…

Security standard for agent skills, providing guidelines and best practices to secure AI-driven autonomous agents in cloud and API environments.

Intentionally vulnerable machine learning model for hands-on security training. Explore common ML vulnerabilities, adversarial attacks, and defensive…

Lightweight Python-based IDS that monitors network traffic in real-time using Scapy, detecting DoS/DDoS attacks via per-IP request rate analysis with…