Knowledge Base Regulation Tracker Standards & Frameworks OSS Directory AI Incident Database Research Paper Library Case Studies Society Articles News Jobs About Charter Sign inBecome a Member
Home/AI Incident Database/Cryptomining payload injected into a widely used computer vision library through GitHub Actions cache poisoning

Cryptomining payload injected into a widely used computer vision library through GitHub Actions cache poisoning

Attackers exploited a template injection weakness and cache poisoning in the project's GitHub Actions workflows to publish YOLO releases carrying a cryptominer, twice, showing that ML libraries are prime supply chain targets.

Severity: HighGitHub ActionsCache poisoningPyPIComputer visionCryptominer

Contribute

Spot an error, or know a record we should add? Members can propose additions and submit corrections.