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AI-Native Platform to Secure Vibecoded Applications

Project description

🛡️ SecureVibes

AI‑Native Security for Vibecoded Apps

SecureVibes uses Claude’s multi‑agent architecture to find security issues with concrete evidence. Agents coordinate to map your architecture, model threats, review code, and generate a clear report. An optional DAST phase validates exploitability via HTTP testing using auto‑discovered skills.

License: AGPL v3


🚀 Quick Start

# Install for the latest release on PyPi (might not have all the latest changes in the code)
pip install securevibes

# NOTE: the package uploaded on PyPi might not have all the latest changes. 
# I will try to release a new version of the package whenever there are significant changes/developments
# If you would rather use the version with the latest changes, you can do the following:

# Install for the latest version (might be buggy)
git clone https://github.com/anshumanbh/securevibes.git
cd securevibes
virtualenv env
. env/bin/activate
pip install -e packages/core

# Authenticate (choose one method)
# Method 1: Session-based (recommended)
# You could use your Claude subscription here, if you don't want to pay per API requests
claude  # Run interactive CLI, then type: /login

# Method 2: API key
export ANTHROPIC_API_KEY="your-api-key-here"

# Scan your project
securevibes scan /path/to/code --debug

# The most important part
# Sit back and relax. Please be patient as the scans might take some time, depending upon the model being used.

Get your API key from: https://console.anthropic.com/


🤖 Agents

  • Assessment → SECURITY.md
  • Threat Modeling (STRIDE) → THREAT_MODEL.json
  • Code Review → VULNERABILITIES.json
  • Report Generator → scan_results.json
  • DAST (optional) → DAST_VALIDATION.json (validates via HTTP when --target-url provided)

🌍 Supported Languages

11 Languages: Python, JavaScript, TypeScript, Go, Ruby, Java, PHP, C#, Rust, Kotlin, Swift

Smart Features:

  • Auto-detects languages in your project
  • Language-aware exclusions (Python: venv/, JS: node_modules/, Go: vendor/)
  • Handles mixed-language codebases intelligently

For detailed language support and exclusion rules, see the full documentation.


🎯 Common Commands

# Default: creates .securevibes/scan_report.md (markdown format)
securevibes scan .

# Export JSON for CI/CD pipeline
securevibes scan . --format json --output security-report.json

# Custom markdown report (saved to .securevibes/custom_report.md)
securevibes scan . --format markdown --output custom_report.md

# Terminal table output (no file saved)
securevibes scan . --format table

# Focus on critical/high severity
securevibes scan . --severity high

# Fast scan with cheaper model
securevibes scan . --model haiku

# Quiet mode for automation
securevibes scan . --quiet

# Run individual sub-agents
securevibes scan . --subagent assessment
securevibes scan . --subagent code-review
securevibes scan . --subagent report-generator

# DAST (optional): skill‑gated dynamic validation
securevibes scan . --subagent dast --target-url http://localhost:3000
  # Validates only when a matching skill is available (e.g., IDOR)
  # Writes .securevibes/DAST_VALIDATION.json; no ad‑hoc files in repo

# Works with any supported language:
securevibes scan /path/to/go-app        # Go project
securevibes scan /path/to/ruby-app      # Ruby project
securevibes scan /path/to/mixed-stack   # Multi-language project

⚙️ Configuration

Models

SecureVibes uses a three-tier priority system for model selection:

Priority Hierarchy:

  1. 🥇 Per-agent environment variables (highest)
  2. 🥈 CLI --model flag (applies to all agents)
  3. 🥉 Default "sonnet" (fallback)

Examples:

# All agents use haiku
securevibes scan . --model haiku

# All use haiku, except code-review uses opus
export SECUREVIBES_CODE_REVIEW_MODEL=opus
securevibes scan . --model haiku

# Fine-grained control per agent
export SECUREVIBES_ASSESSMENT_MODEL=haiku
export SECUREVIBES_CODE_REVIEW_MODEL=opus
securevibes scan .  # Others use default (sonnet)

Models: haiku (fast/cheap), sonnet (balanced), opus (thorough/expensive)

Per‑Agent Overrides

Override specific agent models via environment variables:

# Authenticate first (see Quick Start above)

# Override specific agent models (overrides CLI --model flag)
export SECUREVIBES_CODE_REVIEW_MODEL="opus"  # Max accuracy
export SECUREVIBES_THREAT_MODELING_MODEL="sonnet"

# Control analysis depth (default: 50)
export SECUREVIBES_MAX_TURNS=75  # Deeper analysis

🐍 Python API (minimal)

import asyncio
from securevibes import Scanner

async def main():
    # Auth via Claude Agent SDK:
    # - ANTHROPIC_API_KEY or
    # - Session token from `claude` CLI (/login)
    scanner = Scanner(
        model="sonnet",  # Use shorthand: sonnet, haiku, opus
        debug=True  # Show agent narration for verbose output
    )
    
    result = await scanner.scan("/path/to/repo")
    print(f"Found {len(result.issues)} vulnerabilities")
    print(f"Cost: ${result.total_cost_usd:.4f}")

asyncio.run(main())

📚 Full Documentation

This is a quick reference for PyPI users. For comprehensive documentation, visit:

📖 Full Documentation on GitHub

Including:


👤 Author

Built by @anshumanbh

🌟 Star the repo to follow development!


🙏 Acknowledgments

  • Powered by Claude by Anthropic
  • Built with Claude Agent SDK
  • Inspired by traditional SAST tools, reimagined with AI

License: AGPL-3.0 | Requires: Python 3.10+

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