CVE-2024-27133: MLflow XSS through untrusted dataset in recipe run

Summary

CVE-2024-27133 is an insufficient sanitization flaw in MLflow that leads to cross-site scripting when a recipe runs against an untrusted dataset. The issue is reached through dataset table fields, which lack sanitization, and it results in a client-side RCE when the recipe runs in Jupyter Notebook. The weakness is classified as CWE-79 and was reported by JFrog.

Mitigation

The source does not state a fix yet. Check the original advisory for updates.

Affected packages in the Exposure Registry

Matched by package name and ecosystem. Each entry shows whether the package delegates to a language model and how many tracked packages depend on it.

• mlflowPyPILLM dependency since 2024-05-30 · 17 tracked dependents

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