~/talk

Fresh Secrets From the Docks: Lessons Learnt From Analyzing 180,000 Public DockerHub Images

slides:none on file

Analysis scans 180,000 public DockerHub images and finds 35,000 secrets in 18,000 images, with over 6,000 valid at test time (AWS, GCP, OpenAI, GitHub). The pipeline uses Docker Registry API enumeration, Scopio to extract blobs and ggshield for detection, focuses on COPY/ADD layers under 45 MB to reduce volume, and takes weeks to run. Key results: ~5% of repositories contain secrets, ~20% of specific detectors yield valid credentials, cloud keys and database credentials are common, and build args often leak secrets so secret mounts are required.

AI-written summary · about

  1. 0:00Introduction
  2. 1:45GitGuardian’s secrets detection mission
  3. 2:49Attacker goals and registry targets
  4. 3:54Docker image structure
  5. 6:25Scanning Docker images for secrets
  6. 8:13Methodology for registry scans
  7. 9:57Discovery challenges and results
  8. 11:22Filtering layers to reduce size
  9. 13:51Optimizing scan focus
  10. 15:14Secret detection and validation
  11. 17:17Secrets in Docker Hub findings
  12. 19:25Responsible disclosure
  13. 20:11Longevity of leaked secrets
  14. 21:15Docker build pitfalls
  15. 23:43Best practices for secrets in Docker
  16. 25:07Secrets in run layers
  17. 26:51Conclusion
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