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deep_scan now runs the LLM at temperature 0 — same code yields stable findings instead of varying run-to-run
deep_scan prompt enforces precision over recall: only flags vulnerabilities present in the shown code, no speculation about unseen helpers, no generic hardening noise (clean code that drew 3 speculative findings now returns 0)
Real semantic vulns (IDOR, business-logic, race conditions, auth bypass) still caught; validated live against the API