~/talk

Will Large-Scale Automated Scanning Stop Malware on OSS Repositories?

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Case study of PyPI shows automated scanning fails as a preventive gate: three scanners (PyPI checks, OSS Detect Backdoor, Bandit) flag the majority of benign code, a random sample of 1,000 packages produces alerts on most good packages, and 94% of popular packages get flagged when scanning all files. With about one million package updates per year and ~10,000 removals, even tiny false‑positive rates swamp volunteer admins, so third‑party researchers run scanners and report confirmed positives instead of a full automated block.

AI-written summary · about

  1. 0:00Introduction
  2. 1:25Malware detection methods
  3. 8:09Open source repositories
  4. 11:38Malware scanning solution
  5. 13:46Pi Pi scanning project
  6. 19:48Repository admin constraints
  7. 23:22False positives impact
  8. 26:54Human detection in practice
  9. 28:22Benchmarking tools
  10. 36:30Conclusion
  11. 39:42Q&A
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