Skip to content

Security Audit Report

Date: 2025-12-06 Status: ✅ PASSED

Summary

Comprehensive security audit performed on DSPU codebase.

Audit Scope

  1. Dependency Vulnerabilities - Checked for known CVEs
  2. Hardcoded Secrets - Scanned for credentials in code
  3. Cryptographic Usage - Verified secure crypto practices
  4. Path Traversal - Checked for directory traversal risks
  5. Command Injection - Verified no shell injection vectors

Results

1. Dependency Vulnerabilities

Status: ✅ PASSED

No known vulnerabilities found in project dependencies.


2. Hardcoded Secrets

Status: ✅ PASSED

No hardcoded secrets detected. The audit script: - Skips docstring examples (>>> indicators) - Filters out test/example values (my-api-key, test-, dummy-, etc.) - Only flags realistic credential patterns (e.g., real AWS key format AKIA...) - Uses minimum length thresholds to avoid false positives


3. Cryptographic Usage

Status: ⚠️ REVIEW

Found 1 finding(s) - all legitimate non-crypto uses: - src/dspu/ml/random.py:127: Use secrets module for crypto random numbers

Analysis: All findings are legitimate uses of random module for ML/statistics, not cryptography. The secrets module is properly used for all security-sensitive operations.


4. Path Traversal

Status: ✅ PASSED

No path traversal vulnerabilities detected.

Path Security Features: - ✅ Path validation in PathResolver - ✅ Canonical path resolution - ✅ Proper handling of relative paths - ✅ No string concatenation for path building


5. Command Injection

Status: ✅ PASSED

No command injection vulnerabilities detected: - ✅ No use of os.system() - ✅ No subprocess with shell=True - ✅ No eval() or exec() with untrusted input


Recommendations

Future Enhancements

  1. Dependency Scanning: Set up automated dependency vulnerability scanning (Dependabot/Snyk)
  2. SAST Integration: Add static analysis to CI/CD pipeline
  3. Security Policy: Document security vulnerability reporting process
  4. Audit Frequency: Run security audit quarterly or before major releases

Audit Tools Used

  • Custom security audit script (scripts/security_audit.py)
  • Pattern matching for common vulnerabilities
  • Manual code review of security-critical modules