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Phishing URL classifier with model card

AI-PRF-0045v1.0.0AI systemsCandidate C-0201stage open 2026-09-29 → 2026-10-06

Summary

Classifies URLs as phishing or benign from lexical and host features, with thresholds tuned for a low false-positive rate and a model card covering its limits.

Claims to check

  1. C10.4% false positives at 92% recall on a held-out week
  2. C2No page content fetched; URL and DNS only

Evidence submitted

Code
Repository at tag v1.0.0
Model card
Scope, data, limits

Automated checks

CHECKS / AI-PRF-0045v1.0.01 OF 1 PASSCLEAN ENV
  1. pass Install from README · 2 min

Checks run by the Institute on submission. A pass here is not a verdict.

Version history

  1. v1.0.02026-09-29Submitted

Reviews already filed

None yet. Yours will be the first on the ledger for this stage.

See them on the ledger
The rubric, in full
  1. Works as briefed. Does it run from the instructions and do what the brief asks, on the test data? Must pass
  2. Claims match evidence. Is every claim in the write-up backed by a test, data or a demo you could rerun?
  3. Reproducible. Did a clean environment reproduce the reported results with the documented steps? Must pass
  4. Limits stated. Are failure cases and the limits of scope written down where a reader will see them?
  5. Responsible use. Are data sources cited and permitted, and are risks and human oversight addressed where relevant?

0 Missing · 1 Weak · 2 Meets · 3 Strong. Below Meets needs a written reason.

Your review

Institute review of AI-PRF-0045

Reviewing as Editorial Board · Candidate C-0201 stays anonymous to every reviewer until the decision. Everything you file here is published on the ledger under your name.

1 Conflict of interest
2 What you reviewed
3 Criteria0 / 15

Score each criterion against the public rubric. Must-pass criteria need Meets or better before you can accept.

  1. 01Works as briefedMust pass

    Does it run from the instructions and do what the brief asks, on the test data?

  2. 02Claims match evidence

    Is every claim in the write-up backed by a test, data or a demo you could rerun?

  3. 03ReproducibleMust pass

    Did a clean environment reproduce the reported results with the documented steps?

  4. 04Limits stated

    Are failure cases and the limits of scope written down where a reader will see them?

  5. 05Responsible use

    Are data sources cited and permitted, and are risks and human oversight addressed where relevant?

4 Verdict

Say what you checked, what you found, and what would change your verdict. Address the work, not the person.

0 / 120 min
No verdict yet

Filed reviews cannot be edited. To correct one, file an amendment; both stay on the ledger.