
GitHub Secure Code Game
Season 4 of GitHub's open-source Secure Code Game puts players inside 'ProdBot', a deliberately vulnerable agentic coding assistant modeled on tools like OpenClaw and GitHub Copilot CLI. Across five progressive levels players must get ProdBot to leak a secret by exploiting sandbox escapes, untrusted web content ingestion, malicious MCP server integrations, poisoned org-approved skills/persistent memory, and multi-agent trust chains. It runs free in GitHub Codespaces and references real-world risk categories from the OWASP Top 10 for Agentic Applications 2026 and CVE-2026-25253 ('ClawBleed') RCE in OpenClaw.
TL;DR Free open-source CTF-style game teaching agentic AI attacks (sandbox escape, prompt injection, MCP tool abuse, memory poisoning) via a vulnerable AI agent, runnable in GitHub Codespaces.
Organisations named here
- OWASP Top 10 for Agentic Applications 2026
CVEs named here
- CVE-2026-25253
Technologies named here
- GitHub Secure Code Game
- OpenClaw
- ProdBot
- GitHub Codespaces
- GitHub Copilot CLI
- Model Context Protocol
- GitHub
Techniques named here
- Sandbox breakout via natural language commands
- Untrusted content / prompt injection via web browsing
- MCP tool abuse
- Trust exploitation via skills and persistent memory
- Multi-agent trust chain exploitation / memory poisoning
- Agent goal hijacking
- Tool Misuse
- Identity abuse
- Memory poisoning
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