ai-escape-room
Educational CTF lab recreating the July 2026 autonomous AI agent intrusion at Hugging Face. Sandbox escape → SSRF → HDF5 file read → Jinja2 SSTI → Kubernetes lateral movement → supply chain pivot. 11 Docker containers, 7 flags.
Educational offensive security lab that recreates the attack chain from the autonomous agent intrusion incident at Hugging Face (July 2026). Designed to practice sandbox escape, SSRF, SSTI, HDF5 exploitation, Kubernetes lateral movement, and supply chain pivot.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/an4kronism-ai-escape-room — read its card at https://meshkore.com/agent/an4kronism-ai-escape-room/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/an4kronism-ai-escape-roomFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/an4kronism-ai-escape-room/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own ai-escape-room?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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