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v3.5.2 — Exploitation Depth & Report Hygiene
Distilled from reviewing real AI-pentest output that kept stopping at "exposed" instead of "exploited". Pure-additive, back-compatible. Behavior (injected into black/grey/chain exploit prompts via DEPTH_DOCTRINE): - Exposed → exploited: any info-disclosure / exposed service/WSDL / leaked credential|token / reachable dev host MUST be used before it's a finding; otherwise it's a lead, not a confirmed High/Critical. - Chain across modules: reuse obtained session/JWT/cookie/credential and pivot to IDOR/privesc/exfil; report the chain, not isolated parts. - Decode & fingerprint → CVE; audit tokens (alg-confusion/none/kid/JWKS, weak HS256 secret cracking, lifecycle). Deterministic post-pass (new crates/harness/src/hygiene.rs, wired into finish()): - calibrate severity to PROVEN impact — unproven High/Critical (hedged, no payload, thin evidence) capped to Medium and re-titled "(potential)"; - depth_audit — flag exposures on a host with no real exploit; - hygiene_summary — advise consolidating hygiene classes repeated across assets. Unit tests cover calibration + depth audit. 5 new doctrine meta-agents (scripts/build_methodology_v352.py → agents_md/meta/): exploit_depth_doctrine, finding_chainer, artifact_decoder, token_auditor, report_calibrator (meta 17→22, total 343→348). Version bumped 3.5.1 → 3.5.2 across crates/app/installers/docs; RELEASE/README updated. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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# NeuroSploit — Tutorial & User Guide (v3.5.1)
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# NeuroSploit — Tutorial & User Guide (v3.5.2)
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A complete, hands-on guide to installing, configuring and running NeuroSploit —
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the autonomous, multi-model penetration-testing harness.
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@@ -98,7 +98,7 @@ Agents **degrade gracefully**: if `rustscan` is absent they use `nmap`; if neith
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### Verify
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```bash
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neurosploit --version # neurosploit 3.5.1
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neurosploit --version # neurosploit 3.5.2
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neurosploit agents # {"vulns":196,...,"chains":12,"total":329}
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neurosploit models # all providers & models
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```
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