NeuroSploit v3.4.1 🦀

Autonomous, multi-model penetration-testing harness — Rust, CLI-only.

This branch is the slim, Rust-only distribution: the neurosploit-rs/ workspace plus the agents_md/ agent library. It turns a URL (black-box) or a code repository (white-box) into an autonomous engagement that drives a pool of LLMs — via API key or local subscription (Claude Code / Codex / Gemini / Grok) — recons the target, intelligently selects only the agents matching the discovered surface, runs them in parallel, then validates every finding by cross-model voting before reporting.

The full project (Python engine, web GUIs, history) lives on the main branch.

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Build

cd neurosploit-rs
cargo build --release        # → target/release/neurosploit

Requires a Rust toolchain (rustup). Recommended: run on Kali Linux (or the Kali Docker image) so the offensive tools the agents use are already present:

docker run -it --rm kalilinux/kali-rolling
apt update && apt install -y curl nmap ffuf nodejs npm
# rustscan (faster port scan): cargo install rustscan   (or grab a release from GitHub)

The agents degrade gracefully: if rustscan isn't installed they use nmap; if neither, they probe with curl. If a Playwright MCP browser is available they use it for JS-heavy pages, otherwise they fall back to curl.

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Usage

Run with no arguments for an interactive wizard:

./target/release/neurosploit

Or drive it directly:

# Black-box — subscription (no API key), Opus, browser via Playwright if present, verbose
./target/release/neurosploit run http://testphp.vulnweb.com/ \
    --subscription --model anthropic:claude-opus-4-8 --mcp -v

# Black-box — API keys, multi-model voting panel (1st finds, others adjudicate)
./target/release/neurosploit run http://testphp.vulnweb.com/ \
    --model anthropic:claude-opus-4-8 --model openai:gpt-5.1 --vote-n 3

# White-box — clone a vulnerable app and review its source
git clone https://github.com/digininja/DVWA /tmp/DVWA
./target/release/neurosploit whitebox /tmp/DVWA \
    --subscription --model anthropic:claude-opus-4-8 -v

# Offline pipeline self-test (no keys/login needed)
./target/release/neurosploit run http://testphp.vulnweb.com/ --offline

# Utilities
./target/release/neurosploit agents     # library counts
./target/release/neurosploit models      # providers & models
./target/release/neurosploit --help        # full help with examples

Options (run / whitebox)

Flag	Meaning
--model provider:model	Repeatable. First = primary; the rest fail over and form the voting jury.
--subscription	Use the local CLI login (Claude/Codex/Gemini/Grok) instead of an API key.
--mcp	Enable Playwright MCP (auto-provisioned via npx; backends without MCP use built-in tools).
--vote-n N	How many models must agree a finding is real (default 3 / 2 for whitebox).
--max-agents N	Cap agents run (0 = all matching the recon).
--offline	Exercise the full pipeline without calling any model.
-v, --verbose	Log each agent as it launches, recon, and votes.

Auth

• API key — export the provider's key (ANTHROPIC_API_KEY, OPENAI_API_KEY, GEMINI_API_KEY, XAI_API_KEY, NVIDIA_NIM_API_KEY, …). See .env.example.
• Subscription — --subscription drives your local claude / codex / gemini / grok login. No API key needed.

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How it works

target ─▶ recon (curl/nmap/…) ─▶ INTELLIGENT agent selection (recon-aware)
       ─▶ parallel exploitation ─▶ cross-model validation vote
       ─▶ severity/score ─▶ report (HTML + Typst PDF) ─▶ RL reward update

Every run writes a self-contained folder runs/ns-<ts>-<target>/:

File	Contents
status.json	running → complete with a summary
recon.json / recon.md	mapped attack surface
exploitation.md	raw per-agent transcript
findings.json / findings.md	validated findings (reuse by other tools/AIs)
report.html, report.typ, report.pdf	final report (PDF via the Typst engine)

A reinforcement-learning reward store (data/rl_state_rs.json) biases agent selection on future runs.

Agent library — agents_md/ (249)

Category	Count	Purpose
vulns/	196	Exploit a specific vulnerability class
recon/	12	Information gathering / attack surface
code/	24	White-box source-code (SAST) review
meta/	17	Orchestrator, validator, scorers, reporter, RL

Each agent is a self-contained markdown playbook (## User Prompt methodology + ## System Prompt strict anti-false-positive rules). Drop a new .md into the matching folder and the harness picks it up.

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Safety

For authorized testing only. Agents are instructed to stay in scope, never run destructive/DoS actions, and require proof-of-exploitation. You are responsible for having permission for any target.

License

MIT.