vibescan-ai 1.0.0

Security scanner for AI-generated (vibe-coded) code

VibeScan

Security scanner for AI-generated (vibe-coded) code

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The Problem

AI coding tools (Cursor, Claude, Copilot) generate code fast — but 45% of it has security vulnerabilities (Veracode 2025). Existing scanners (GitLeaks, TruffleHog) scan for secrets only. They miss what VibeScan catches.

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Architecture

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Features

Feature	Status
14 secret patterns (AWS, OpenAI, GitHub, Stripe, JWT, DB URLs…)	✅
Shannon entropy detection (unknown tokens)	✅
22 AI-specific vulnerability patterns	✅
Live secret validation (GitHub + OpenAI tokens)	✅
Auto-fix suggestions with safe code snippets	✅
Git hooks (block push on CRITICAL)	✅
GitHub Actions PR bot	✅
HTML report + Security dashboard (0–100 score, A–F grade)	✅
Config file with allowlist & baseline	✅
Zero cost · Works offline · MIT license	✅

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Quick Start

# Install — one time
pip install vibescan-ai

# Scan any project
vibescan scan .

# Save HTML report
vibescan scan . -o report.html

Output: File | Line | Issue | Risk | Match in a colorful Rich table.

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📸 Screenshots

Feature	Image
Terminal Output
HTML Report
Security Dashboard

Demo

VibeScan v1 Demo | VibeScan v2 Demo

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Usage

# Scan current folder
vibescan scan .

# Scan specific folder
vibescan scan path/to/your/project

# HTML report
vibescan scan . -o report.html

# Security dashboard (0-100 score + A-F grade)
vibescan scan . -d dashboard.html

# JSON export (CI/CD integration)
vibescan scan . -j results.json

# Fast scan — secrets only, skip AI patterns
vibescan scan . --no-vibe

# Fail on critical (exit code 1 for CI/CD)
vibescan scan . --fail-on-critical

# Verify if detected secrets are live or revoked
vibescan scan . --validate

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Detected Issues

Secrets

AWS Access Key · AWS Secret Key · OpenAI API Key · GitHub Token / OAuth / PAT · Google API Key · JWT Token · Database URL (PostgreSQL / MongoDB / MySQL / Redis) · Generic API Key · Generic Password · Private Key · Stripe Secret / Test Key · Slack Token · Hardcoded .env values

AI-Specific Vulnerabilities

Prompt injection · Unvalidated LLM input · Password / token logged · subprocess with shell=True · os.system() · Path traversal · .env served in route · Hardcoded admin credentials · Weak random module · yaml.load() · pickle.loads() · Missing rate limit on auth · Unvalidated file upload · Missing auth check · SQL injection via f-strings · Debug mode in production · CORS wildcard · Direct .env read · eval() usage

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Why VibeScan Over GitLeaks?

Feature	GitLeaks	VibeScan
Secret detection	✅	✅
Entropy analysis	❌	✅
AI-specific patterns	❌	✅
Missing auth detection	❌	✅
SQL injection check	❌	✅
Auto-fix suggestions	❌	✅
GitHub Actions / PR bot	❌	✅
Security dashboard	❌	✅
Cost	Free	Free

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Tech Stack

Python · Click · Rich · Jinja2 · Regex · Shannon Entropy · GitHub Actions

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Installation (from source)

git clone https://github.com/tanikush/vibescan.git
cd vibescan
pip install -r requirements.txt
pip install -e .

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Contributing

Pull requests are welcome. For major changes, open an issue first to discuss what you would like to change.

1. Fork it
2. Create your feature branch (git checkout -b feature/my-change)
3. Commit your changes (git commit -m 'Add: my new feature')
4. Push the branch (git push origin feature/my-change)
5. Open a Pull Request

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License

MIT — see LICENSE for details. Free forever. No license fees. No cloud lock-in.