CVE-2024-37056: MLflow deserialization of untrusted data via uploaded LightGBM model

Summary

CVE-2024-37056 affects the MLflow platform in versions 1.23.0 and newer. Deserialization of untrusted data lets a maliciously uploaded LightGBM scikit-learn model run arbitrary code on an end user's system when that model is interacted with. The weakness is classified as CWE-502, and NVD has not yet provided an assessment.

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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