TRIAGE & VALIDATION

One wrong answer = STOP. Kill it. Move on.

"N/A hurts your validity ratio. Informative is neutral. Only submit what passes all 7 questions."

THE 7-QUESTION GATE

Ask IN ORDER. One wrong answer = STOP immediately.

Q1: Can an attacker use this RIGHT NOW, step by step?

Complete this template:

1. Setup:   I need [own account / another user's ID / no account]
2. Request: [exact HTTP method, URL, headers, body — copy-paste ready]
3. Result:  I can [read / modify / delete] [exact data shown in response]
4. Impact:  The real-world consequence is [account takeover / PII read / money stolen]
5. Cost:    Time: [X minutes], Capital: [$0 / $X subscription required]

If you CANNOT write step 2 as a real HTTP request → KILL IT.

Q2: Is the impact on the program's accepted impact list?

Go to the program page. Find "Vulnerability Types" or "Out of Scope."

Common tiers:

• Critical: Any-user ATO without interaction, RCE, SQLi with data exfil, admin auth bypass
• High: Mass PII exfil, privilege escalation, internal SSRF with data, stored XSS all users
• Medium: IDOR on specific user non-critical data, XSS on sensitive page requiring click
• Low: Non-sensitive info disclosure, clickjacking with PoC

If your bug maps to a listed exclusion → KILL IT.

Q3: Is the root cause in an in-scope asset?

Confirm:

• Vulnerable domain is on the in-scope list (not *.internal.target.com)
• It's a production asset (not staging/dev unless explicitly in scope)
• It's not a third-party service the company just uses (not Stripe, Salesforce, Google Auth)

If out-of-scope → KILL IT.

Q4: Does it require privileged access that an attacker can't realistically get?

• "Admin can do X" = centralization risk = KILL IT (on 99% of programs)
• "Non-admin can do X that only admin should do" = valid
• "Requires physical access / MFA device" = usually invalid
• "Requires compromised victim account to work" = questionable, low severity at best

Q5: Is this already known or accepted behavior?

Search:

1. Program's HackerOne/Bugcrowd disclosed reports: Ctrl+F endpoint name + bug class
2. GitHub issues on target repo: is:issue label:security ENDPOINT_NAME
3. Changelog/CHANGELOG.md — does it mention this behavior?
4. API docs / design docs — is it documented as intended?

If acknowledged/design decision → KILL IT.

Q6: Can you prove impact beyond "technically possible"?

• XSS → show actual cookie theft or session hijack, not just alert(1) or alert(document.domain)
• SSRF → hit an internal endpoint that returns data, not just DNS ping
• SQLi → show actual data exfil from a real table, not just error message
• IDOR → show actual other-user's data in response, not just a 200 status code

If you can only show "technically possible" → DOWNGRADE severity, not kill.

Q7: Is this a known-invalid bug class?

Check the NEVER SUBMIT list below. If it's on this list without a chain → KILL IT.

Q8: Identity check — which session found this, and does it survive?

For any finding made under an authenticated hunt, record the answer to each:

1. Session ID:        [12-char BBHUNT_SESSION_ID hash from audit.jsonl]
2. Identity:          [low-priv user A / high-priv user B / API key / etc.]
3. Anonymous repro:   Does the same request work with NO auth header?
4. Cross-identity:    Does it work under session B with the same data scope?
5. Stale-cred repro:  Does a logged-out / expired session still get the data?

Why this matters:

• IDOR / BOLA: must work with session A reading session B's data — if it only works with no auth, that's "missing auth" not IDOR (different bug, different severity).
• Priv-esc: must work with low-priv session reading high-priv data — if both sessions can already see it, no bug.
• Auth bypass: must work without a valid session — if it stops working when you log out, you've found a permissions issue, not a bypass.
• Always check both directions: a finding that only reproduces under one identity is often a real, scoped permission boundary, not a vuln.

audit.jsonl entries are tagged with session_id. Re-run the request under each identity and confirm the bug holds before writing the report. This is the most common reason "confirmed IDOR" findings come back as N/A.

If you cannot answer the identity questions, treat the finding as unproven. Blank answers auto-fail on auth-related findings.

4 PRE-SUBMISSION GATES

Run in sequence. ALL 4 must PASS.

Gate 0: Reality Check (30 seconds)

[ ] Bug is REAL — confirmed with actual HTTP requests, not code reading alone
[ ] Bug is IN SCOPE — checked program scope page explicitly
[ ] Reproducible from scratch — can reproduce starting from fresh session
[ ] Evidence ready — screenshot, response body, or video

Gate 1: Impact Validation (2 minutes)

[ ] Can answer: "What can attacker DO that they couldn't before?"
[ ] Answer is more than "see non-sensitive data" (unless program pays for info disclosure)
[ ] Real victim: another user's data, company's data, financial loss
[ ] Not relying on victim doing something unlikely

Gate 2: Deduplication Check (5 minutes)

[ ] Searched HackerOne Hacktivity for this program + similar bug title/endpoint
[ ] Searched GitHub issues for target repo
[ ] Read most recent 5 disclosed reports for this program
[ ] Not a "known issue" in their changelog or public docs
[ ] Google: "TARGET_NAME ENDPOINT_NAME bug bounty"

Gate 3: Report Quality (10 minutes)

[ ] Title: [Bug Class] in [Endpoint] allows [actor] to [impact]
[ ] Steps to Reproduce: copy-pasteable HTTP request
[ ] Evidence: screenshot/video of actual impact (not just 200 status)
[ ] Severity: matches CVSS 3.1 score AND program's severity definitions
[ ] Remediation: 1-2 sentences of concrete fix
[ ] NEVER used "could potentially" or "may allow"

NEVER SUBMIT LIST

Submitting these destroys your validity ratio.

Missing CSP / HSTS / security headers
Missing SPF / DKIM / DMARC
GraphQL introspection alone (no auth bypass, no IDOR demonstrated)
Banner / version disclosure without working CVE exploit
Clickjacking on non-sensitive pages (no sensitive action PoC)
Tabnabbing
CSV injection (no actual code execution shown)
CORS wildcard (*) without credential exfil proof of concept
Logout CSRF
Self-XSS (only exploits own account)
Open redirect alone (no ATO or OAuth theft chain)
OAuth client_secret in mobile app (known, expected)
SSRF DNS callback only (no internal service access or data)
Host header injection alone (no password reset poisoning PoC)
Rate limit on non-critical forms (search, contact, login with Cloudflare)
Session not invalidated on logout
Concurrent sessions
Internal IP in error message
Mixed content
SSL weak ciphers
Missing HttpOnly / Secure cookie flags alone
Broken external links
Autocomplete on password fields
Pre-account takeover (usually — very specific conditions required)

COMMON N/A CLASSES — KILL SIGNALS

These pass basic gut-check but consistently come back N/A. Each row has a specific signal that tells you to kill it before writing the report.

Decision rule: if your finding matches a kill signal → classify as [INFORMATIONAL], do not run /validate, move on.

CONDITIONALLY VALID — CHAIN REQUIRED

Build the chain first, prove it works end to end, THEN report.

CVSS 3.1 QUICK REFERENCE

Common Score Examples

Metric Quick Guide

KILL FAST RULES

The goal is to QUICKLY disqualify bad leads so you hunt real bugs:

1. 5-minute rule: If you can't fill in Q1's template in 5 minutes → move on
2. Precondition count: More than 2 preconditions simultaneously required → kill it
3. Impact test: "What does attacker walk away with?" — if nothing tangible → kill it
4. Admin bypass: "Admin can do X" is NEVER a bug → kill it immediately
5. Design doc test: If it's documented behavior → kill it immediately
6. Rabbit hole signal: 30+ min on Q6 with no reproducible PoC → kill it

ANTI-PATTERNS THAT LOSE MONEY

Writing a report before confirming the bug exists (most common)
Submitting theoretical impact without proof
"The API returns more fields than necessary" (sensitivity matters — is it actually sensitive?)
Chaining A+B into one report when they're separate bugs (two separate payouts)
Reporting B saying "similar to A in my other report" — fresh Gate 0 for every bug
Overclaiming severity — triagers trust you less next time
Under-describing impact — triager doesn't understand why it matters