8.8
CWE
502
EPSS
0.043%
Advisory Published
Advisory Published
Updated

CVE-2024-37057

First published: Tue Jun 04 2024(Updated: )

Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0rc0 or newer, enabling a maliciously uploaded Tensorflow model to run arbitrary code on an end user’s system when interacted with.

Credit: 6f8de1f0-f67e-45a6-b68f-98777fdb759c 6f8de1f0-f67e-45a6-b68f-98777fdb759c

Affected SoftwareAffected VersionHow to fix
pip/mlflow>=2.0.0rc0<=2.14.1
MLflow>=2.0.0

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Frequently Asked Questions

  • What is the severity of CVE-2024-37057?

    CVE-2024-37057 is considered a critical vulnerability due to the potential for arbitrary code execution from untrusted data deserialization.

  • How do I fix CVE-2024-37057?

    To fix CVE-2024-37057, upgrade the MLflow platform to a version later than 2.14.1.

  • What versions of MLflow are affected by CVE-2024-37057?

    MLflow versions from 2.0.0rc0 up to and including 2.14.1 are affected by CVE-2024-37057.

  • What are the consequences of exploiting CVE-2024-37057?

    Exploiting CVE-2024-37057 allows a malicious Tensorflow model to execute arbitrary code on the user’s system.

  • Is CVE-2024-37057 relevant for all MLflow users?

    Yes, all users of MLflow versions 2.0.0rc0 to 2.14.1 should be aware of CVE-2024-37057 and take action.

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