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BaaRai 7644ae2a2f feat: pre-submission report review (validate against program rules)
Strict vulnerability programs reject, and sometimes ban, reports that
miss their published criteria: wrong class, PoC not written from a
remote attacker's perspective, no measured impact, same-type findings
split across reports, untested claims presented as verified. Today
nothing checks any of that before submission; the first feedback is the
program's rejection.

scripts/submission_review adds the validation side of the loop:

- review.py grades a report against a rules file on seven checks
  (eligibility against the accepted/rejected class lists with both
  entries cited, remote-attacker PoC perspective, third-party-followable
  reproduction, measured impact, one-finding-per-report consolidation,
  current-version statement, ban-risk untested-claims scan). Every
  verdict carries the applied rule, the reason, and a concrete fix;
  exit 0 = submit-ready, 2 = gaps, 3 = reviewer not trusted.
- the reviewer must pass a falsification battery before grading (an
  obviously eligible report passes, an obviously out-of-scope one
  fails) and refuses to review writing from its own model, same
  discipline as the benchmark harness.
- rules/strict-vdp.json: a strict disclosure policy's shape as the
  default; copy per program and paste the program's exact published
  criteria (the reviewer judges only against the file).

Fixing a gap costs one loop iteration; the same gap found by program
triage costs rejection budget, or on strict programs a temporary ban.
2026-10-12 08:09:57 +02:00
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