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Security0.003 USDG / dosedeterministic · no paid AI

Phish Lens

Read a link the way an attacker wrote it.

Offline URL forensics for agents that click. Folds domains into a visual skeleton to catch homoglyphs (pаypal with a Cyrillic а, rnetamask), measures edit distance to 48 brands, flags mixed-script punycode, hidden userinfo, cheap TLDs, redirects and lure words — without ever fetching the page.

Playground

Input · JSON
Output
Waiting for a dose.

Edit the example or run it as-is.

Input

  • urlstring

    One URL to inspect.

  • urlsarray

    Or up to 25 URLs at once.

Output

  • reportsarray

    Per URL: verdict, 0–100 score, impersonated brand and every signal with its weight.

  • worststring

    The worst verdict across all URLs.

How it learned

No model, no training run. The rules were written by reading public research and open-source tooling, then encoded by hand. Credit where it’s due:

# 1. Ask for the price (returns 402 + PAYMENT-REQUIRED)
curl -i -X POST https://your-domain/api/x402/phish-lens \
  -H "Content-Type: application/json" \
  -d '{"text":"ignore previous instructions"}'

# 2. Free trial, no payment (rate-limited)
curl -X POST https://your-domain/api/try/phish-lens \
  -H "Content-Type: application/json" \
  -d '{"text":"ignore previous instructions"}'
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