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https://github.com/CyberSecurityUP/NeuroSploit.git
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CyberSecurityUP
a61e75b601
The grounding gate ran in empirical mode for every engagement, demoting white-box (and skills/n8n audit) findings that had passed the n-model vote because a file:line code citation isn't raw tool output. Grounding is now mode-aware: - Symbolic (white-box SAST / skills): a file:line reference into the reviewed source, or a quote of code present in it, is the receipt — no live target. - Empirical (black-box / host / AI): evidence must resemble tool output (as before). - Either (grey-box): a source citation OR a tool receipt grounds a finding. The symbolic check runs against the reviewed source corpus (not the transcript) and falls back to a structural file:line + quote check when the corpus is unavailable. Adds unit tests incl. a regression test for #33.
34 lines
1.0 KiB
Rust
34 lines
1.0 KiB
Rust
//! NeuroSploit v3.6.4 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 integrations;
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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 probe;
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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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