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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>
32 lines
1005 B
Rust
32 lines
1005 B
Rust
//! NeuroSploit v3.5.2 harness — a robust multi-model runtime for the
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//! markdown-driven autonomous pentest engine.
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//!
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//! The harness loads the `agents_md/` library, drives a *pool* of LLM models
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//! (any OpenAI-compatible provider) with concurrency + provider failover, runs
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//! the specialist agents in parallel, then validates every candidate finding by
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//! **N-model voting** before scoring and reporting.
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pub mod agents;
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pub mod attack_graph;
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pub mod belief;
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pub mod creds;
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pub mod grounding;
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pub mod hygiene;
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pub mod pomdp;
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pub mod models;
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pub mod pipeline;
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pub mod pool;
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pub mod report;
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pub mod rl;
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pub mod types;
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pub use agents::{Agent, Library};
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pub use models::{
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cli_binary_for, ensure_playwright_mcp, installed_cli_backends, mcp_supported, provider_for,
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providers, write_mcp_config, ChatClient, ModelRef, Provider,
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};
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pub use pipeline::{run_greybox, run_host, run_whitebox, RunOutput};
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pub use pipeline::run;
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pub use pool::{ModelPool, Task};
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pub use types::{Finding, RunConfig};
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