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Security: AICL-Lab/mini-image-pipe

Security

SECURITY.md

Security Policy

Supported Versions

Version Supported
>= 1.0
< 1.0

Reporting a Vulnerability

If you discover a security vulnerability in Mini-ImagePipe, please report it responsibly.

How to Report

  1. Do not create a public GitHub issue for the vulnerability
  2. Email security concerns to: Create a security advisory on GitHub
  3. Include:
    • Description of the vulnerability
    • Steps to reproduce
    • Potential impact
    • Suggested fix (if available)

Response Timeline

  • Acknowledgment: Within 48 hours
  • Initial assessment: Within 7 days
  • Fix timeline: Depends on severity and complexity

Security Considerations

Mini-ImagePipe is a GPU image processing library. Key security considerations:

  1. Memory Safety: All GPU operations use checked allocations
  2. Input Validation: Operators validate image dimensions and parameters
  3. Error Handling: CUDA errors propagate through the pipeline
  4. No Network Operations: Pure computational library, no network access

Best Practices for Users

  • Validate input image sizes before processing
  • Check CUDA error codes after execution
  • Use appropriate memory pool sizes for your workload
  • Run tests before production deployment

Security Updates

Security fixes are released as:

  • Patch versions for minor fixes
  • New minor versions for significant changes

Check GitHub Releases for updates.

There aren't any published security advisories