joshuark shares a report from BleepingComputer: More than 10,000 Docker Hub container images expose data that should be protected, including live credentials to production systems, CI/CD databases, or LLM model keys. After scanning container images uploaded to Docker Hub in November, security researchers at threat intelligence company Flare found that 10,456 of them exposed one or more keys. The most frequent secrets were access tokens for various AI models (OpenAI, HuggingFace, Anthropic, Gemini, Groq). In total, the researchers found 4,000 such keys. "These multi-secret exposures represent critical risks, as they often provide full access to cloud environments, Git repositories, CI/CD systems, payment integrations, and other core infrastructure components," Flare notes. [...]

Additionally, they found hardcoded API tokens for AI services being hardcoded in Python application files, config.json files, YAML configs, GitHub tokens, and credentials for multiple internal environments. Some of the sensitive data was present in the manifest of Docker images, a file that provides details about the image.Flare notes that roughly 25% of developers who accidentally exposed secrets on Docker Hub realized the mistake and removed the leaked secret from the container or manifest file within 48 hours. However, in 75% of these cases, the leaked key was not revoked, meaning that anyone who stole it during the exposure period could still use it later to mount attacks.

Flare suggests that developers avoid storing secrets in container images, stop using static, long-lived credentials, and centralize their secrets management using a dedicated vault or secrets manager. Organizations should implement active scanning across the entire software development life cycle and revoke exposed secrets and invalidate old sessions immediately.

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