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docs: update README for v3.4.0 (Rust harness, whitebox, 249 agents, Gemini, intelligent selection)
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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# NeuroSploit v3.3.0
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# NeuroSploit v3.4.0
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**Autonomous, markdown-driven AI penetration testing.**
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**Autonomous, markdown-driven AI penetration testing — now with a Rust multi-model harness.**
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NeuroSploit v3.3.0 is a ground-up re-model of the pentest agent. Instead of a
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NeuroSploit turns a URL (or a code repository) into an autonomous security
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monolithic Python orchestrator, it is now a **lean engine that turns a URL into
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engagement. A high-performance **Rust harness** (`tokio` + `axum`) drives a
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an autonomous engagement**: it composes a master prompt from a curated library
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**pool of LLM models** with concurrency, **provider failover**, and **N-model
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of **213 markdown agents** and hands execution to whichever **agentic CLI
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validator voting** — multiple models must independently agree a finding is real
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backend** you have installed — **Claude Code, Codex, or Grok CLI** (or a Claude
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before it is reported. After recon, the harness **intelligently selects** which
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subscription) — augmented with **Playwright MCP** for real browser-based proof,
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of the **249 markdown agents** match the target instead of running them blindly,
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and a **reinforcement-learning** loop that gets smarter every run.
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learns across runs via a **reinforcement-learning** reward loop, and serves its
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own polished web dashboard.
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> The previous Python orchestration now lives in [`legacy/`](legacy/README.md).
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> The Python engine (v3.3.0) and the original monolith live in
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> [`legacy/`](legacy/README.md); the v3.3.0 stdlib dashboard remains in `webgui/`.
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> **🦀 v3.4.0 — Rust multi-model harness.** A new high-performance harness lives
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## 🦀 The Rust harness (`neurosploit-rs/`)
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> in [`neurosploit-rs/`](neurosploit-rs/): a single Rust binary (`tokio` + `axum`)
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> that drives a **pool of LLM models** with concurrency, **provider failover**,
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```bash
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> and **N-model validator voting** (N models must agree a finding is real before
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cd neurosploit-rs && cargo build --release
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> it counts). It serves its own solid web dashboard. Build & run:
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> ```bash
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# Web dashboard (black-box + white-box modes)
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> cd neurosploit-rs && cargo build --release
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./target/release/neurosploit serve # → http://127.0.0.1:8788
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> ./target/release/neurosploit serve # web dashboard → :8788
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> ./target/release/neurosploit run https://target.example --model anthropic:claude-opus-4-8 --model openai:gpt-5.1
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# Black-box: recon → intelligent agent selection → parallel exploit → vote → report
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> ./target/release/neurosploit run https://t.example --offline # pipeline self-test, no API keys
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./target/release/neurosploit run https://target.example \
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> ./target/release/neurosploit run https://t.example --subscription --model anthropic:claude-opus-4-8 # uses Claude Code login, no API key
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--model anthropic:claude-opus-4-8 --model openai:gpt-5.1 --vote-n 3
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> ```
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> Two auth paths: **model APIs** (provider key) or **subscription** — drive your
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# White-box: analyse a repository's source for vulnerabilities
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> local **Claude Code** / **Codex** / **Grok** logins directly (no API key).
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./target/release/neurosploit whitebox /path/to/repo --subscription --model anthropic:claude-opus-4-8
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> 11 OpenAI-compatible providers / 31 models (Claude, GPT, Grok, NVIDIA NIM,
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> DeepSeek, Mistral, Qwen, Groq, Together, OpenRouter, Ollama). Reads the same
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# Subscription (no API key) + real browser proof via Playwright MCP
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> `agents_md/` library (213 agents).
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./target/release/neurosploit run https://t.example --subscription --mcp --model anthropic:claude-opus-4-8
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# Pipeline self-test, no keys/login required
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./target/release/neurosploit run https://t.example --offline
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```
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**What it does**
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- **Two modes** — *black-box* (URL recon → exploit) and *white-box* (walk a repo,
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run code-review/SAST agents on the source).
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- **Intelligent selection** — the model picks the agents whose preconditions match
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the recon, then runs that subset (not top-N).
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- **Multi-model pool** — bounded concurrency, **provider failover**, and the same
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panel forms the **N-model validator jury** that cuts false positives.
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- **Two auth paths** — **model APIs** (provider key) *or* **subscription**: drive
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your local **Claude Code / Codex / Grok / Gemini** logins directly, no API key.
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- **12 providers / 40+ models** (Claude, GPT, Grok, **Gemini**, NVIDIA NIM,
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DeepSeek, Mistral, Qwen, Groq, Together, OpenRouter, Ollama).
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- **RL rewards** persisted to `data/rl_state_rs.json` — validated findings reward
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an agent, biasing the next run.
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- **Artifacts for reuse** — every run writes `runs/<target>-<ts>/`:
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`recon.json/md`, `exploitation.md`, `findings.json/md`, `report.html`.
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- **Playwright MCP** on the subscription path for real browser-based proof.
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### Agent library — 249 agents
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| Category | Dir | Count | Purpose |
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|----------|-----|-------|---------|
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| Vulnerability specialists | `agents_md/vulns/` | 196 | Exploit a specific vuln class |
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| Recon | `agents_md/recon/` | 12 | Information gathering / attack surface |
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| Code (white-box SAST) | `agents_md/code/` | 24 | Source-code vulnerability review |
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| Meta | `agents_md/meta/` | 17 | Orchestrator, validator, scorers, reporter, RL |
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---
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---
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