Hunting Methodology

Hunting Methodology

The 5-Phase Non-Linear Workflow

Phase 1: Understand the Target (before touching anything)

1. Read program scope, policy, safe harbor
2. Read 5+ disclosed reports in hacktivity
3. Map crown jewels: what would hurt the company most?
4. Understand the business domain — what features handle money, PII, auth?

Phase 2: Map the Surface

1. Subdomain enumeration → live hosts → tech stack detection
2. JS bundle analysis → API endpoints, secrets, internal URLs
3. Run /surface for P1/P2/Kill ranking

Phase 3: Hunt (the actual testing)

1. Pick P1 target from surface ranking
2. Select vuln class based on tech stack:
   • Rails/Django/Laravel → IDOR, mass assignment
   • Express/Node → prototype pollution, path traversal
   • Spring Boot → Actuator, SSTI
   • Next.js → SSRF via Server Actions
   • GraphQL → introspection, IDOR via node(), mutation auth bypass
3. Test with concrete payloads (see /hunt)
4. Apply the Sibling Rule on every endpoint
5. 20-minute rotation if no progress
6. Build a depth matrix before declaring a class exhausted:
   • Dimensions: entrypoint × method × content-type × encoding × bypass
   • Minimum 30 combinations on P1 surface (seed with uv run python3 $CLAUDE_PROJECT_DIR/tools/intel_engine.py matrix <class>)
   • Do not stop at the first blocked payload — mutate and continue
7. Run cross-context variants for every promising input:
   • URL / query, JSON, form-urlencoded, multipart, GraphQL variables
   • Header / cookie mirrors, reflected values, stored values, async jobs / webhooks
8. Execute encoding ladders systematically:
   • raw → URL → double-URL → unicode escape → mixed-case / separator insertion
   • Keep the semantic payload constant through each ladder step
   • Then stack encodings in a single payload: html-entity+URL (%26lt%3Bscript%26gt%3B), URL+html-entity, unicode-escape+URL, base64+URL. WAFs typically decode once; targets decode twice, so a payload that looks benign after a single decode still executes at the sink.
9. Execute auth-state permutations:
   • unauthenticated, low-priv user A, low-priv user B, high-priv, expired token, stale session, cross-tenant
   • Compare response deltas (status, length, timing), not only status codes
10. Treat every bypass as a family, not a one-off:
    • For WAF / filter blocks, try separator insertion, case toggling, alternate delimiters, parser differentials, and protocol / host normalization tricks
11. Log negative evidence (what failed and why) via uv run python3 $CLAUDE_PROJECT_DIR/tools/brain.py record <target> recon "coverage-<class>" "<details>" so autopilot resume avoids repeating exhausted paths.

Phase 4: Validate + Chain

1. Run 7-Question Gate on any signal
2. If PASS → check A→B chain table
3. If CHAIN REQUIRED → build the chain or drop it
4. If KILL → move on immediately

Phase 5: Report + Submit

1. Quality check (score ≥ 7)
2. Dupcheck against hacktivity
3. Submit with PoC + evidence + CVSS 4.0

Wide vs Deep Route Selection

Wide route (recon-heavy): New target, unknown surface, no prior data.

• Run /pipeline for broad coverage first
• Then /surface to prioritize

Deep route (hunt-heavy): Known target, mapped surface, returning hunter.

• Run /resume to see what's untested
• Pick the highest-ROI untested endpoint
• Go deep on one vuln class

Developer Psychology

Developers make CLASS mistakes, not random ones:

• If they forgot auth on endpoint A, they probably forgot on B and C
• If they use sequential integer IDs anywhere, they use them everywhere
• If input validation is weak in one form, check ALL forms
• New features (< 30 days) have the weakest security
• Acquired companies (different code, different team) = fresh attack surface

Time Management

ROI Ranking by Bug Class