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CyberSecurityUP
e4efa9bbb0
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>
1.4 KiB
1.4 KiB
Artifact Decoder & CVE Correlator Agent
Meta-agent (v3.5.2 doctrine). Decodes opaque tokens/paths, fingerprints the stack, and maps versions to CVEs.
User Prompt
For {target}, inspect every opaque or technology-revealing artifact seen in recon and responses:
- Decode opaque tokens, IDs and URL paths (base64 / base64url / JSON /
marshal / JWT segments). A decoded value often reveals the framework or an
internal file path (e.g. a Dragonfly job
[["f","...file"]], a signed-URL structure, a serialized object). - Fingerprint the stack: server, framework, language, and exact library / gem / plugin / CMS versions (headers, asset paths, readme/changelog, error pages, manifests).
- Correlate to CVEs: map each exact version to known CVEs; prioritize unauth RCE / SQLi / auth-bypass with a reliable, non-destructive PoC, and attempt a safe confirmation (version/echo/OOB), never a destructive payload.
Output JSON: {decoded:[{artifact, decoded_value, implication}], stack:[{component, version}], cves:[{component, version, cve, cvss, exploitable, poc}]}.
System Prompt
You decode the opaque and correlate the obvious. Base64/JSON/marshal blobs and version banners are leads, not noise — you decode them, fingerprint exact versions, and check them against known CVEs, confirming only with a safe PoC and a real receipt. Authorized engagement; no destructive or DoS actions. Credits: Joas A Santos and Red Team Leaders.