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  5. CVE-2024-37052

CVE-2024-37052: MLFlow unsafe deserialization

June 4, 2024 (updated June 5, 2024)

Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with.

References

  • github.com/advisories/GHSA-76cg-cfhx-373f
  • github.com/mlflow/mlflow
  • hiddenlayer.com/sai-security-advisory/mlflow-june2024
  • nvd.nist.gov/vuln/detail/CVE-2024-37052

Code Behaviors & Features

Detect and mitigate CVE-2024-37052 with GitLab Dependency Scanning

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Affected versions

All versions starting from 1.1.0 up to 2.13.1

Solution

Unfortunately, there is no solution available yet.

Impact 8.8 HIGH

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Learn more about CVSS

Weakness

  • CWE-502: Deserialization of Untrusted Data

Source file

pypi/mlflow/CVE-2024-37052.yml

Spotted a mistake? Edit the file on GitLab.

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