AI Audit: Findings and Recommendations

[koxon]

Summary

This PR contains the comprehensive findings from an AI-powered infrastructure audit of the CloudTranscode repository, focusing on security, operational resilience, and cost optimization.

Key Findings

Critical Issues (4)

• Command injection vulnerabilities in custom FFmpeg/ImageMagick command handling
• Missing input validation allowing potential remote code execution
• Hardcoded AWS account ID exposing sensitive information
• No rate limiting or resource controls risking DoS attacks

High Priority Issues (6)

• Insecure Composer download without signature verification
• Missing IAM permission boundaries
• No encryption for temporary files containing sensitive media
• Insufficient error handling and monitoring
• No health checks or circuit breakers
• Outdated dependencies with known vulnerabilities

Medium Priority Issues (5)

• Missing input file type validation
• No disaster recovery documentation
• Absence of cost controls or budget alerts
• Sequential processing bottleneck affecting performance
• No retry logic for transient failures

Low Priority Issues (5)

• GitHub secrets using legacy authentication
• Missing container security scanning
• No API versioning strategy
• Incomplete documentation
• Outdated performance benchmarks

Immediate Actions Required

1. Fix command injection vulnerabilities - Critical security issue
2. Implement proper input validation - Prevent malicious inputs
3. Add rate limiting and resource controls - Prevent DoS and runaway costs
4. Update dependencies - Address known vulnerabilities

Positive Observations

The audit also identified 8 areas of strength:

• Clean, well-structured architecture
• Proper Docker containerization
• Flexible input options
• Good AWS Step Functions implementation
• Real-time progress tracking
• Comprehensive error reporting
• Proper S3 integration
• Solid documentation foundation

Next Steps

1. Review the FINDINGS.md file for detailed recommendations
2. Prioritize critical and high-priority issues for immediate remediation
3. Create tickets for tracking implementation of recommendations
4. Consider the suggested DevOps agent skill improvements for future audits

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This audit was performed by an AI agent with DevOps Engineer persona on 2026-02-17