briar-pentest 0.4.7

Autonomous AI Pentester — find vulnerabilities before hackers do

🥀 Briar — Autonomous AI Pentester

Find vulnerabilities before hackers do. Free. Open Source. No Docker required.

Briar is an autonomous AI pentester. It scans web applications, injects real payloads, validates exploits, and generates professional security reports — powered by 11 AI providers including a completely free local mode via Ollama.

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Quick Start

pip install briar
briar setup              # Pick your AI provider (Ollama = free)
briar scan -u https://target.com --quick
briar serve              # Web dashboard → http://localhost:8233

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Features

Category	Details
🤖 11 AI Providers	Ollama (free, local), OpenAI, Claude, DeepSeek, Groq, Mistral, xAI/Grok, Google/Gemini, OpenRouter, Together, Custom
🛡️ 10 OWASP Agents	Recon, Injection, XSS, SSRF, Auth, AuthZ, CSRF, Upload, Traversal, RCE, API, Secrets
🎯 No Exploit, No Report	Every High/Critical finding is replayed and confirmed before reporting
🔌 Blackbox + Whitebox	Works with just a URL. Add -r /path/to/source for code-aware analysis
📡 Port Scanning	24 common ports scanned during recon phase
📄 Reports	Markdown, Word (.docx), Excel (.xlsx), Obsidian vault + canvas mindmap
🎨 Slides	PowerPoint (.pptx) + HTML presentation
📊 Charts	Severity pie chart, agent bar chart
🌐 Dashboard	Web UI on port 8233 (FastAPI) with scan launcher
💾 Workspaces	Resume interrupted scans, checkpoint after every agent
⚙️ YAML Config	Authenticated scanning, login flows, custom rules (avoid/focus paths)
🐳 No Docker Required	Native Python. pip install and go. Docker optional for server mode.

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Usage

# Quick scan (4 agents)
briar scan -u https://target.com --quick

# Standard scan (8 agents)  
briar scan -u https://target.com

# Deep scan (all 12 agents + browser exploits)
briar scan -u https://target.com --deep

# With source code (whitebox mode)
briar scan -u https://target.com -r /path/to/repo

# With DeepSeek provider (set env var first)
export DEEPSEEK_API_KEY=sk-xxx
briar scan -u https://target.com -p deepseek

# With config file (authenticated scanning)
briar scan -c juice-shop.yaml

# Resume an interrupted scan
briar scan --resume workspace-name

# List saved workspaces
briar workspaces

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Config File (YAML)

# juice-shop.yaml — example for OWASP Juice Shop
target:
  url: http://localhost:3000

provider: deepseek
mode: deep
output: ./reports/juice-shop

authentication:
  login_url: /rest/user/login
  method: json
  credentials:
    email: [e-mail]
    password: test123
  success_condition: "status=200"

rules:
  avoid:
    - path: /logout
    - path: /score-board
  focus:
    - path: /api
    - path: /rest

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Architecture

briar/
├── agents/          12 security agents (recon, injection, xss, ssrf,
│                    auth, authz, csrf, upload, traversal, rce, api, secrets)
├── providers/       11 AI backends (Ollama, OpenAI, Claude, DeepSeek, ...)
├── core/            HTTP client, exploit validator, workspace manager
├── exploits/        Selenium browser exploits + CLI payload injector
├── reports/         Markdown, Word, Excel, Obsidian generators
├── charts/          Pie chart + bar chart (matplotlib)
├── slides/          PowerPoint + HTML slide decks
├── cli.py           Main CLI (click + rich)
├── web.py           FastAPI dashboard (port 8233)
├── worker.py        Background job queue worker
└── config.py        YAML config loader

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Install from Source

git clone https://github.com/Stiimy/briar
cd briar
pip install -e .
briar setup

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"No exploit, no report." — Briar validates every High/Critical finding before you see it.

License: AGPL-3.0 — Free. Forever.