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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.


Built with 🔒 by VerdictOS


🆕 New in v1.1.0

Auto-Fix Suggestions

Get instant recommendations on how to fix vulnerabilities:

verdictos-scan --path . --with-fixes

Example output:

[CRITICAL] PY-EVAL
  File: app/api.py:45
  Issue: eval() can lead to arbitrary code execution
  
  💡 Fix: Use ast.literal_eval() for safe evaluation
  
  Example:
  # Bad:
  result = eval(user_input)
  
  # Good:
  import ast
  result = ast.literal_eval(user_input)

Security Badge

Add a security badge to your README:

[![VerdictOS Security](https://img.shields.io/badge/VerdictOS-SECURE-brightgreen)](https://verdictos.tech)

Badge automatically updates with your security score!

Social Sharing

Share your security score on Twitter:

verdictos-scan --path . --share

Generates a ready-to-post tweet with your results.


Roadmap

  • VS Code Extension (real-time scanning)
  • GitHub App (auto-scan PRs)
  • Web Playground (no installation needed)
  • Custom rules engine
  • Compliance reports (SOC 2, ISO 27001)

Vote on features: https://github.com/VerdictOS/scan/discussions

About

Security scanner for AI-generated code. Finds eval(), hardcoded secrets, SQL injection, and other vulnerabilities in code written by Cursor, Copilot, Claude, and other AI tools.

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