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Security: AstroStray/Avalonia-Face-Metadata-Extractor

SECURITY.md

Security Policy

Supported Versions

We actively support the following versions of MetaExtractor with security updates:

Version Supported
1.0.x
< 1.0

Reporting a Vulnerability

How to Report

If you discover a security vulnerability within MetaExtractor, please send an e-mail to the maintainers. Do not create a public GitHub issue for security vulnerabilities.

Contact: Create a private security advisory through GitHub's security tab or contact the repository owner directly.

What to Include

When reporting a vulnerability, please include:

  1. Description of the vulnerability
  2. Steps to reproduce the issue
  3. Potential impact assessment
  4. Suggested fix (if you have one)
  5. Your contact information for follow-up

Response Timeline

  • Acknowledgment: Within 48 hours
  • Initial Assessment: Within 1 week
  • Status Update: Every week until resolved
  • Resolution: Depends on severity and complexity

Security Best Practices

This project follows these security practices:

Dependencies

  • Regular dependency updates via Dependabot
  • Automated security vulnerability scanning
  • Review of all dependency updates before merging

Code Security

  • No hardcoded secrets or API keys
  • Input validation for all external data
  • Secure handling of image/video files
  • Memory management for OpenCV operations

Data Privacy

  • Face detection data is processed locally
  • No automatic data transmission to external services
  • User controls over data retention and deletion
  • Anonymization options for exported data

Build & Deployment

  • Secure CI/CD pipeline with vulnerability scanning
  • Code signing for releases (planned)
  • Container security best practices (if applicable)

Known Security Considerations

OpenCV Dependencies

  • Uses OpenCV for computer vision operations
  • Keep OpenCV libraries updated for security patches
  • Validate input image/video formats

Model Files

  • ONNX models should be verified and trusted sources only
  • Implement model validation before loading
  • Sandboxed model execution environment

User Data

  • Face analysis results may contain sensitive biometric data
  • Follow local privacy regulations (GDPR, CCPA, etc.)
  • Provide clear data handling disclosures

Security Features

Current Implementation

  • ✅ Dependency vulnerability scanning
  • ✅ Secret scanning prevention
  • ✅ Automated security updates
  • ✅ Input validation for file types

Planned Implementation

  • 🔄 Code signing for releases
  • 🔄 Runtime application self-protection (RASP)
  • 🔄 Secure configuration management
  • 🔄 Audit logging for sensitive operations

Compliance

Privacy Regulations

  • GDPR Compliance: User consent, data portability, right to deletion
  • CCPA Compliance: User data rights and disclosure requirements
  • Biometric Laws: Compliance with local biometric data regulations

Security Standards

  • Following OWASP secure coding practices
  • NIST Cybersecurity Framework alignment
  • Regular security assessments and updates

Contact

For security-related questions or to report vulnerabilities:

  • GitHub Security Advisories: Preferred method
  • Repository Issues: For general security questions (not vulnerabilities)
  • Email: Contact repository maintainers directly

Last Updated: September 2025
Version: 1.0

There aren’t any published security advisories