pentest-harness

agent
Guvenlik Denetimi
Basarisiz
Health Uyari
  • License — License: MIT
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Low visibility — Only 5 GitHub stars
Code Basarisiz
  • process.env — Environment variable access in .github/issue-management/policy.mjs
  • network request — Outbound network request in .github/issue-management/policy.mjs
  • rm -rf — Recursive force deletion command in .github/workflows/build-exe-for-python-sdk.yml
  • process.env — Environment variable access in .github/workflows/e2e.yml
Permissions Gecti
  • Permissions — No dangerous permissions requested

Bu listing icin henuz AI raporu yok.

SUMMARY

Pentest Harness — Heaven for Hackers. A self-hosted AI agent harness for authorized pentests, bug bounty, security labs, and CTFs. Bring your own AI model API; sessions stay local.

README.md
Pentest Harness — Heaven for Hackers

Pentest Harness

Heaven for Hackers — the professional security testing workspace.

An open-source, dark-first AI agent harness for authorized penetration tests, bug bounty
research, security labs, and CTF engagements. Built on a plugin architecture where every
layer — model adapters, tools, sessions, settings, and credentials — is replaceable from
configuration.

Works with any AI model API. Bring your own key from OpenAI, Anthropic, DeepSeek,
Google, Mistral, Groq, OpenRouter, Azure OpenAI, or any OpenAI-compatible gateway — one
click auto-discovers your models and you're running.


Screenshots

Workspace Provider cards
Pentest Harness workspace Pentest Harness provider cards

Features

  • Multi-provider LLM engine — OpenAI Chat Completions & Responses, Anthropic Messages, DeepSeek, and any custom OpenAI-compatible gateway with one-click model auto-discovery
  • Full agent toolset — shell, filesystem, web research, skills, goals, subagents, background jobs, and workflow control
  • Pentest Mode — a professional offensive-security operating standard for authorized engagements
  • Provider cards — live connection testing, enabled/disabled toggles, per-model context badges
  • Durable sessions — JSONL/SQLite persistence with replay; resume exactly where you left off
  • Context that never dies — token metering, automatic compaction, and tool-result pruning
  • Secure by default — API keys live in an owner-only credential store as references; never in settings files or logs
  • Dark-only theme — a focused, low-glare interface built for long engagements
  • Everything is a plugin — built on Cordis; no closed core to fight

Quick start

git clone https://github.com/S1N6H/pentest-harness.git
cd pentest-harness
pnpm install
pnpm build
pnpm dsh web

The Web UI opens at http://127.0.0.1:2323 in your browser.

If pnpm dsh is not on your PATH, use pnpm exec dsh web or
node apps/cli/lib/index.js web.

Requirements

  • Node.js 20+ (Node 22 recommended)
  • pnpm (npm i -g pnpm)

Run on another port

pnpm dsh web --port 3000

First run — connect any AI model

  1. Open Settings → Models.
  2. Click Add a custom provider (or Edit an existing one).
  3. Paste your API base URL — the provider ID and display name auto-fill.
  4. Enter your API key (stored in your local credential store, never in settings).
  5. Models auto-discover from the endpoint — click one to add it, or add by hand.
  6. Pick a model in the composer and start your engagement.

Defaults

Setting Value
Web UI http://127.0.0.1:2323
Settings file $DSH_HOME/settings.yaml (default ~/.dsh/settings.yaml)
Credentials $DSH_HOME/.credentials.yaml (owner-only permissions)

License

MIT

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