
HoneySAP
HoneySAP: SAP Low-interaction research honeypot

HoneySAP: SAP Low-interaction research honeypot

A documentation and tracking project with the goal of making package management systems more secure.

Structured playbook for integrating threat modeling into product security, covering stakeholder buy-in, organizational embedding, training, process…

Structured curriculum for learning application security, covering secure coding, threat modeling, and DevSecOps practices. Designed for self-paced…

Coordination structure for AI security standards and guidelines, reducing fragmentation and providing clear guidance for securing AI systems across…

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…



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

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…

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…