HighVulnerability
CVE-2024-37059: MLflow deserialization of untrusted data via malicious PyTorch model
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2024-37059
- Published
- Record updated
- Affected
- mlflow >= 0.5.0, <= 3.4.0
- Fixed in
- No fixed version was stated when the source was last read.
- Known exploitation
- Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
- EPSS
- 0.6%
Summary
CVE-2024-37059 affects the MLflow platform in versions 0.5.0 and newer. Deserialization of untrusted data can occur, so a maliciously uploaded PyTorch model can run arbitrary code on an end user's system when that user interacts with it. The weakness is classified as CWE-502, Deserialization of Untrusted Data, and HiddenLayer is the listed source.
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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