Correlate

Run the finding correlation engine to discover attack chains from individual findings.

h-mmer 67fc36f 1.3 KB Updated

File contents

Find attack chains by correlating all known findings.

  1. uv run python3 $CLAUDE_PROJECT_DIR/tools/statusline.py --compact — show current state
  2. Launch correlator agent: "Analyze ALL findings in brain and findings.json. Find attack chains where one finding enables another. Document each chain with combined CVSS 4.0 and end-to-end reproduction steps."
  3. After agent returns, update brain with discovered chains.
  4. Show the user any new high-impact chains found.

Top-Tier Correlation Bar

Build a capability graph, not a list of related bugs.

  • Nodes are capabilities: read tenant data, write config, trigger webhook, steal token, reach internal host, execute workflow.
  • Edges require evidence that one capability enables the next. Shared component or same endpoint family is only a hint.
  • Score each chain by final impact, proof reliability, policy safety, duplicate risk, and report clarity.
  • Prefer chains that convert low-severity feeders into account takeover, tenant escape, stored XSS with privileged action, SSRF to credential disclosure, or config write to execution.
  • Record killed chains too. The next correlation pass should know which attractive edges failed and why.

h-mmer/pentest-agents/tree/main/.claude/skills/correlate commit 67fc36f42b

Frequently asked questions

npx skillmds@latest add h-mmer/correlate