DecoyShield

Counter-recon honeypot against agentic LLM attackers (PentestGPT/AutoGPT/LangChain). Six deploy modes: Flask drop-in, WSGI/ASGI middleware (Django/FastAPI), callable Python primitives, decoyshield CLI, edge configs (nginx/Caddy/Cloudflare), and Node.js npm package (Express/Fastify). Invisible-to-human, visible-to-LLM bait halts AI scans.

wsgi

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3 Stars

0 Forks

0 Watchers

Python Language

mit License

42.1 SrcLog Score

Cost to Build

$5.7K

Market Value

$4.0K

How is this calculated?

Growth over time

2 data points · 2026-07-23 → 2026-08-07

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What is the lunayue0917-max/DecoyShield GitHub project? Description: "Counter-recon honeypot against agentic LLM attackers (PentestGPT/AutoGPT/LangChain). Six deploy modes: Flask drop-in, WSGI/ASGI middleware (Django/FastAPI), callable Python primitives, decoyshield CLI, edge configs (nginx/Caddy/Cloudflare), and Node.js npm package (Express/Fastify). Invisible-to-human, visible-to-LLM bait halts AI scans.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone DecoyShield

Clone via HTTPS

git clone https://github.com/lunayue0917-max/DecoyShield.git

Clone via SSH

[email protected]:lunayue0917-max/DecoyShield.git

Download ZIP

Download main.zip

Found an issue?

Report bugs or request features on the DecoyShield issue tracker:

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