An intentionally vulnerable OWASP LLM Top 10 training platform for AI Security, Prompt Injection, RAG Security, Agent Security, and GenAI penetration testing.

Vulnerable Docker containers designed to simulate vulnerable services for enthusiasts looking to sharpen their skills in identifying, exploiting, and enumerating vulnerabilities in a controlled environment.

Intentionally vulnerable AI security training lab for LLM agents — demonstrates OWASP LLM Top 10 2025: RAG injection, tool abuse, memory poisoning, supply chain compromise, data exfiltration and more.

Intentionally vulnerable lab for exploring access control bypasses in misconfigured Nginx/Flask setups

Vulnerable Active Directory Lab based on Ansible configuration.

Intentionally vulnerable web application built as a portfolio lab and integrated with a controlled Active Directory environment to demonstrate web exploitation, trust boundaries, and attack-chain risk in an isolated setting.

Educational Azure vulnerability lab for penetration testing practice, red team training, and cybersecurity education. Vulnerable-by-design cloud infrastructure with Terraform automation.

Intentionally vulnerable Next.js RSC Docker lab for CVE-2025-55182 (React2Shell) local testing

An intentionally vulnerable Spring Boot application designed for security research, defensive analysis, and secure coding education in modern Java-based systems.

自建针对初学者 简单的靶场 欢迎大佬们指点

SonicWall security audit toolkit with vulnerable CTF lab (CVE-2021-20038, CVE-2024-53704)

LLM-powered DevSecOps agent for generating vulnerable cyber ranges from natural language.

Build an unattended, randomized, gradeable vulnerable Active Directory lab in VMware from a non-admin Windows host over WinRM — armed with BadBlood + Vulnerable-AD and sealed with a ground-truth answer key for blind red-team training.

Intentionally vulnerable GCP infrastructure for security training — Terraform deployment of DVWA, Cloud Function (SSRF/RCE), public storage bucket, overprivileged SA, and more.

A safe, local lab to demonstrate Command Injection vulnerabilities (Blue/Red Team).