The AI Bug Bounty Playbook: From Recon to Paid Report

The exact methodology that lands payouts — not theory, a working pipeline you can run today.

Bug bounty is a numbers game. Programs receive thousands of submissions per week, and the triage team spends seconds on each report. Your odds of getting paid improve dramatically when you move fast, cover more attack surface, and write reports that read like a fix is five minutes away.

This is the pipeline Neirra uses: a repeatable, agent-driven loop of recon → scan → verify → report. Steal it.

Phase 1 — Recon: know the surface before you touch it

Recon is where most bounty hunters lose hours. The goal is a complete asset map: every subdomain, endpoint, API, and JavaScript file that belongs to the target.

• Enumerate subdomains (passive: certificate transparency, DNS history, search engines)
• Collect every unique JavaScript file — js files leak endpoints, API keys, and hidden admin routes
• Extract API endpoints from the JS and from the HTML source
• Note authentication surfaces: login forms, token endpoints, OAuth flows

Phase 2 — Scan: find the anomalies, not the obvious

Generic vulnerability scanners flag the same public CVEs everyone else sees — those reports are worthless. The payouts come from business-logic and config flaws that scanners miss:

• Authorization gaps: can a user token hit an admin endpoint?
• Mass assignment: does the API accept fields it shouldn't (role, balance, is_admin)?
• IDOR patterns: sequential IDs that can be swapped for another user's resource
• Rate-limit bypasses, cache poisoning, and race conditions on money flows

# sample check: authz gap test
for endpoint in $(cat endpoints.txt); do
  curl -s -H "Authorization: Bearer $USER_TOKEN" \
    -w "%{http_code} $endpoint\n" -o /dev/null "$TARGET$endpoint"
done

Compare responses between user and admin tokens. Any 200 on an admin-only route with a user token is a report.

Phase 3 — Verify: only submit what you can prove

A rejected report costs you time; a false positive costs you reputation. Verify every finding before you write it up:

• Replay the exact request that triggers the bug — twice
• Document the impact chain: what can an attacker actually do with this?
• Rate severity honestly (CVSS-style): a leaked debug endpoint is Low, fund-moving race is Critical
• Screenshot everything: before, during, and after

Phase 4 — Report: write like triage has 30 seconds

Program triagers skim hundreds of reports a day. Yours must be scannable in 30 seconds and actionable in 5 minutes:

• Title: bug + impact in one line — "IDOR on /api/v2/invoices allows reading any user's billing data"
• Summary: two sentences — what, where, why it matters
• Steps to reproduce: numbered, copy-paste-ready, including the exact request
• Impact: who is affected and what they lose
• Suggested fix: even a one-liner makes triage faster and your report more credible

Reports that look like they were written by an engineer get paid faster than reports written like a scanner dump. The Neirra Security Audit module ships exactly these templates — the structure programs actually read.

The math of doing this full-time

A single accepted report on a mid-tier program pays $500–$5,000. With a repeatable pipeline, serious hunters submit 10–20 verified findings a month. One acceptance covers a year of tools — and everything you need ships in the Professional tier's Security Audit suite: recon workflows, scanning pipelines, report templates.