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Security Policy

Supported Versions

VideoAnnotator follows semantic versioning. Security updates are provided for the following versions:

Version Supported
1.x.x ✅
< 1.0 ❌

Reporting a Vulnerability

We take security vulnerabilities seriously. If you discover a security vulnerability in VideoAnnotator, please follow these steps:

📧 Private Disclosure

DO NOT create a public GitHub issue for security vulnerabilities.

Instead, please email us directly:

📋 What to Include

Please include the following information in your report:

  1. Description: Clear description of the vulnerability
  2. Impact: Potential impact and attack scenarios
  3. Reproduction: Step-by-step instructions to reproduce
  4. Environment: Operating system, Python version, dependencies
  5. Proof of Concept: If applicable, include minimal PoC code
  6. Suggested Fix: If you have ideas for mitigation

🕐 Response Timeline

We commit to:

  • Acknowledge your report within 48 hours
  • Provide initial assessment within 1 week
  • Coordinate disclosure timeline based on severity
  • Credit researchers in security advisories (if desired)

🛡️ Responsible Disclosure

We follow responsible disclosure practices:

  1. Private coordination on fix development
  2. Public disclosure after patch is available
  3. Security advisory published with details
  4. CVE assignment for qualifying vulnerabilities

Security Best Practices

For Users

🔒 Environment Security

# Use virtual environments
conda create -n videoannotator python=3.12
conda activate videoannotator

# Keep dependencies updated
pip install --upgrade -r requirements.txt

📁 File Handling

  • Validate input files before processing
  • Sanitize file paths to prevent directory traversal
  • Limit file sizes to prevent resource exhaustion
  • Use temporary directories for processing

🌐 Network Security

  • Avoid processing untrusted videos from unknown sources
  • Use HTTPS for model downloads
  • Verify checksums of downloaded models
  • Isolate network access in production environments

🔑 Access Control

  • Run with minimal privileges - don't use root/admin
  • Restrict file system access to necessary directories
  • Use container isolation in production deployments
  • Regular security updates for system packages

For Developers

🛡️ Secure Coding

# Input validation
def validate_video_path(path: str) -> Path:
    path = Path(path).resolve()
    if not path.exists():
        raise ValueError("Video file does not exist")
    if path.suffix.lower() not in ['.mp4', '.avi', '.mov']:
        raise ValueError("Unsupported video format")
    return path

# Secure temporary files
import tempfile
with tempfile.NamedTemporaryFile(delete=True) as tmp:
    # Process safely
    pass

🔍 Dependency Management

  • Pin dependency versions in requirements.txt
  • Regular security scans with pip-audit
  • Monitor vulnerability databases (GitHub Security Advisories)
  • Use dependabot for automated security updates

📊 Logging and Monitoring

  • Sanitize logs - don't log sensitive paths/data
  • Monitor resource usage - detect anomalous behavior
  • Rate limiting for API endpoints
  • Input size limits to prevent DoS

Known Security Considerations

🎥 Video Processing

  • Large file handling: Videos can consume significant memory/disk
  • Format vulnerabilities: Some video codecs have known exploits
  • Metadata exposure: Video files may contain sensitive metadata

🤖 ML Model Security

  • Model poisoning: Use trusted model sources only
  • Adversarial inputs: Malicious videos could exploit model vulnerabilities
  • Data privacy: Models may memorize training data

🔗 Dependencies

  • Third-party libraries: Regular updates required for security patches
  • Native dependencies: FFmpeg, OpenCV may have vulnerabilities
  • GPU drivers: CUDA/ROCm security considerations

Incident Response

🚨 If You Suspect a Breach

  1. Immediately isolate affected systems
  2. Document the incident with timestamps
  3. Contact our security team
  4. Preserve evidence for analysis
  5. Update to latest secure version

📋 Post-Incident

  1. Root cause analysis to prevent recurrence
  2. Security patches released promptly
  3. Public disclosure after mitigation
  4. Process improvements based on lessons learned

Compliance and Standards

VideoAnnotator aims to comply with:

  • OWASP Top 10 security risks mitigation
  • ISO 27001 information security standards
  • GDPR/Privacy considerations for video data
  • Research ethics for academic use cases

Security Tools and Resources

🔧 Recommended Tools

# Security scanning
pip install pip-audit
pip-audit

# Static analysis
pip install bandit
bandit -r src/

# Dependency checking
pip install safety
safety check

📚 Additional Resources

Contact Information

Thank you for helping keep VideoAnnotator secure! 🛡️