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Security: LM-150A/docflash

Security

SECURITY.md

Security Policy

Supported Versions

Currently supported versions for security updates:

Version Supported
2.0.x ✅ Yes
1.x.x ❌ No

Reporting a Vulnerability

If you discover a security vulnerability in Doc Flash, please report it responsibly:

🔒 Private Disclosure

  • Email: Send details to the repository owner via GitHub
  • Don't open public issues for security vulnerabilities
  • Include: Steps to reproduce, impact assessment, and suggested fixes

📋 What to Include

  • Description of the vulnerability
  • Steps to reproduce the issue
  • Potential impact and attack scenarios
  • Your assessment of severity
  • Any suggested mitigations or fixes

⚡ Response Timeline

  • Acknowledgment: Within 48 hours
  • Initial Assessment: Within 1 week
  • Fix Timeline: Depends on severity
    • Critical: Within 7 days
    • High: Within 14 days
    • Medium: Within 30 days
    • Low: Next release cycle

Security Considerations

🔐 API Keys & Credentials

  • Never commit API keys to the repository
  • Use environment variables for all sensitive data
  • Rotate keys regularly
  • Use managed identities when possible (Azure)

📄 Document Processing

  • Files are processed temporarily and cleaned up
  • No persistent storage of document content
  • OCR processing happens locally or via secure APIs

🌐 Network Security

  • All API communications use HTTPS
  • Rate limiting implemented where applicable
  • Input validation on all endpoints

🛡️ Dependencies

  • Regular dependency updates via Dependabot
  • Security scanning with safety and bandit
  • Automated vulnerability detection in CI/CD

Security Best Practices for Users

🏢 Production Deployment

  • Use HTTPS for all connections
  • Implement proper authentication
  • Set up network firewalls
  • Monitor for suspicious activity
  • Regular backups and disaster recovery

🔑 API Key Management

  • Store keys in secure key management systems
  • Use principle of least privilege
  • Monitor API usage and costs
  • Set up alerts for unusual activity

📊 Data Handling

  • Review documents before processing
  • Be aware of data residency requirements
  • Consider data classification levels
  • Implement data retention policies

Automated Security Measures

  • Bandit: Static security analysis for Python code
  • Safety: Dependency vulnerability scanning
  • GitHub Security Advisories: Automated vulnerability detection
  • Dependabot: Automated dependency updates

Contact

For security-related questions or concerns, please contact the repository maintainers through GitHub's private vulnerability reporting feature.

There aren’t any published security advisories