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Author:
DecoyShield contributors
License:
MIT
Summary:
Counter-recon honeypot against agentic LLM attackers (PentestGPT / AutoGPT / LangChain agents). Five deploy modes: Flask drop-in, WSGI/ASGI middleware (Django/FastAPI/Starlette), callable primitives (inject_html/inject_json/@protect), `decoyshield` CLI, and edge configs for nginx/Caddy/Cloudflare Workers — no Python needed at the edge.
Latest version:
0.8.0
Required dependencies:
flask
|
markupsafe
Optional dependencies:
build
|
mypy
|
pytest
|
pytest-cov
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