verdictos-scan 1.0.0

Security scanner for AI-generated code

VerdictOS Security Scanner

Find security vulnerabilities in AI-generated code before they reach production.

The Problem

AI coding tools (Cursor, GitHub Copilot, Claude, v0) are writing 40%+ of modern codebases. They're fast. They're helpful. They're also introducing security vulnerabilities at scale.

What We Scan For

• Code Execution Risks: eval(), exec(), subprocess with shell=True
• Secret Leakage: Hardcoded API keys, passwords, private keys
• Injection Vulnerabilities: SQL injection, command injection, XSS
• Insecure Patterns: Weak randomness, disabled JWT verification, pickle deserialization
• Runtime Issues: Missing security headers, exposed debug endpoints, weak TLS

Quick Start

# Install
pip install verdictos-scan

# Scan your codebase
verdictos-scan --path .

# Scan + probe live URL
verdictos-scan --path . --url https://yourapp.com

# JSON output for CI/CD
verdictos-scan --path . --json

Example Output

================================================================================
AI SECURITY AUDIT REPORT
================================================================================
CRITICAL: 5 | HIGH: 12 | MEDIUM: 8 | LOW: 3
RISK SCORE: 127

[CRITICAL] PY-EVAL
  File: app/api/v1/execute.py:45
  Issue: Use of eval() can lead to arbitrary code execution.
  Snippet: result = eval(user_input)

[CRITICAL] SECRET-ASSIGNMENT
  File: config/settings.py:12
  Issue: Possible hardcoded secret.
  Snippet: API_KEY = "sk-1234567890abcdef"

GitHub Action

name: Security Scan
on: [push, pull_request]

jobs:
  security:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - uses: verdictos/scan-action@v1
        with:
          block-on-critical: true

Why VerdictOS?

• ✅ AI-Focused: Specific patterns common in AI-generated code
• ✅ Fast: Scans 100K lines in seconds
• ✅ Zero Config: Works out of the box
• ✅ CI/CD Ready: GitHub Actions, GitLab CI, Jenkins
• ✅ Free for Open Source

Pricing

• Open Source: Free forever
• Pro: $99/mo (private repos, unlimited scans)
• Enterprise: $499+/mo (continuous monitoring, auto-fix PRs, compliance reports)

Real Stats

We scanned 1,000 repositories using AI coding tools. Here's what we found:

• 67% had hardcoded secrets
• 45% had eval() or exec() usage
• 82% had SQL injection risks
• 91% had missing security headers
• 34% had exposed debug endpoints

Don't be a statistic. Scan your code.

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Built with 🔒 by VerdictOS