DocuMind follows security best practices for production deployment. This document outlines the current security status, known issues, and mitigation strategies.

Environment Security:

• All sensitive credentials stored in environment variables
• No API keys or secrets committed to repository
• Proper .gitignore configuration excludes all .env* files
• GitHub Secrets configured for production deployment

Application Security:

• CORS properly configured for production domains
• Input validation on all API endpoints
• Secure Redis connection with SSL in production
• Rate limiting and request size limits implemented

Deployment Security:

• Production deployment on Google Cloud Run with IAM
• Vercel deployment with environment variable isolation
• No debug endpoints expose sensitive information in production

As of August 2025, GitHub Dependabot has identified several dependency alerts. These have been assessed and determined to be non-critical for the current production deployment:

• Issue: torch==2.0.1 - Remote code execution via torch.load with weights_only=True
• Risk Assessment: LOW - DocuMind does not use torch.load() functionality
• Mitigation: Application only uses PyTorch for sentence-transformers inference
• Status: Monitored, update planned for next major release

• Issue: python-multipart==0.0.6 - DoS via malformed form-data
• Risk Assessment: LOW - FastAPI handles multipart parsing with built-in validation
• Mitigation: File upload size limits (10MB) and type validation implemented
• Status: Monitored, works correctly in production

• Issue: aiohttp==3.9.1 - Directory traversal and request smuggling
• Risk Assessment: LOW - Used only for internal API calls, not exposed endpoints
• Mitigation: No user-controllable file paths or proxy functionality
• Status: Monitored, internal usage only

• nltk==3.8.1: Regex complexity issues - LOW RISK (limited text processing)
• lxml==4.9.3: General security improvements available - LOW RISK (XML parsing limited)

1. Input Validation: All user inputs validated and sanitized
2. File Type Restrictions: Only PDF, DOCX, TXT files accepted
3. Size Limits: 10MB maximum file upload size
4. Environment Isolation: Production uses containerized deployment
5. Access Controls: Redis and OpenAI access via secure credentials

• Dependabot alerts monitored monthly
• Security updates evaluated for compatibility
• Production system health monitored via analytics dashboard

For Redis AI Challenge Submission (August 2025):

• Current dependency versions are stable and production-tested
• Security updates will be applied post-challenge to avoid disruption
• No critical vulnerabilities affect the core Redis Vector Sets functionality

Post-Challenge:

• Dependency updates will be tested in staging environment
• Security patches will be applied with full regression testing
• PyTorch upgrade planned when Python 3.13 compatibility improves

For security concerns or questions about this assessment:

• Repository: https://github.com/MatthewEngman/documind
• Issues: Use GitHub Issues for security discussions
• Production System: https://documind-ruby.vercel.app/

Last Updated: August 1, 2025
Next Review: Post Redis AI Challenge (September 2025)
Security Status: ✅ PRODUCTION READY