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CyberSecurityUP
56d3f0c723
New cargo workspace `neurosploit-rs/` (single `neurosploit` binary): harness crate: - models.rs: 11 OpenAI-compatible providers / 31 models (Claude, GPT, Grok, NVIDIA NIM, DeepSeek, Mistral, Qwen, Groq, Together, OpenRouter, Ollama) - pool.rs: ModelPool with bounded concurrency, provider failover, and N-model validator voting (the panel doubles as the jury) - agents.rs: loads the existing agents_md/ library (213 agents) - pipeline.rs: recon → parallel exploit (semaphore-bounded) → N-model adversarial vote → score; streams live progress over a channel - report.rs: HTML report - tokio + reqwest(rustls); offline mode runs the pipeline without API keys app binary: - clap CLI: serve | run | agents | models (run supports --model x N, --vote-n, --max-agents, --offline) - axum web dashboard with multi-model panel, live console, findings, agent browser, embedded report; single binary serves the SPA (no npm/build) Verified: cargo build clean; agents/models/offline-run CLI; server endpoints (/api/info, /api/run lifecycle, /report); dashboard + live run in Playwright. Docs: README v3.4.0 callout + RELEASE.md notes. target/ gitignored. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
21 lines
706 B
Rust
21 lines
706 B
Rust
//! NeuroSploit v3.4.0 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 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 types;
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pub use agents::{Agent, Library};
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pub use models::{provider_for, providers, ChatClient, ModelRef, Provider};
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pub use pipeline::run;
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pub use pool::ModelPool;
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pub use types::{Finding, RunConfig};
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