BLA
BLA (Blind LLM Agents) is the open-source Blue Defense MCP and CLI built to protect software artifacts against automated AI reverse-engineering workflows.
evilCAPTCHA tells humans from AI by asking for immoral things that guardrailed AI models refuse to do. Solve it and get a certificate of humanity.
SecurityPython · HTMLGitHub @EiSiMoConnection unstableOwner unconfirmed
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A new type of CAPTCHA against AI agents
Translation pending
Taken from the repository README
Loading the full README. The saved excerpt is shown below.
A CAPTCHA that keeps AI out by asking for a little evil.
Try it · About · Use it on your site
Classic CAPTCHAs no longer stop AI. Today's models read warped letters, click every traffic light and drive a real browser without breaking a sweat.
So evilCAPTCHA stops testing what you can do and tests what you are willing to do: proof of immorality. It asks you to falsely accuse a celebrity, write a fake news headline, or worse. Humans hope nobody is watching and type. Guardrailed AI models refuse.Read the full README ↗So evilCAPTCHA stops testing what you can do and tests what you are willing to do: proof of immorality. It asks you to falsely accuse a celebrity, write a fake news headline, or worse. Humans hope nobody is watching and type. Guardrailed AI models refuse.
The Turing test asked whether a machine could seem human. This one asks whether you behave badly enough to seem human.
This project lives at the intersection of art, technology and philosophy. It is a proof of concept meant to start a discussion, not to hurt anyone's actual feelings.
The site is a small FastAPI app in Python. The widget is plain HTML that works without JavaScript, so agents that only follow links meet the same challenge as humans. Answers are judged by Jev, a cheap, fast decision model on OpenRouter that answers yes/no questions about each answer instead of writing text.
A built-in benchmark checks whether the captcha holds: it lets real AI agents loose on the site, each in a fresh Docker container on an isolated network, and records whether they solve the task or refuse.
To run it yourself:
cp .env.example .env # fill in OPENROUTER_API_KEY, PRIVACY_CONTACT and PGP_KEY (uv run evil-captcha keygen)
uv run --env-file .env evil-captcha serve # http://localhost:8000
MIT, see LICENSE.