CVE-2024-37054: High severity mlflow vulnerability

Published Jun 4, 2024
·
Updated

Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.9.0 or newer, enabling a maliciously uploaded PyFunc model to run arbitrary code on an end user’s system when interacted with.

Affected Software

3 affected components
pip/mlflow>=0.9.0<=2.13.1
pip/mlflow>=0.9.0<=2.14.1
Lfprojects Mlflow>=0.9.0

Event History

Jun 4, 2024
CVE Published
via MITRE·12:00 PM
Data Sourced
via MITRE·12:00 PM
DescriptionSeverityWeakness
Data Sourced
via NVD·12:15 PM
DescriptionSeverityWeakness
Data Sourced
via NVD·12:15 PM
Affected Software
Advisory Published
via GitHub·12:31 PM
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Frequently Asked Questions

1

What is the severity of CVE-2024-37054?

CVE-2024-37054 is considered a critical vulnerability due to the potential for arbitrary code execution.

2

How do I fix CVE-2024-37054?

To fix CVE-2024-37054, upgrade the MLflow platform to the latest version beyond 2.14.1.

3

Which versions of MLflow are affected by CVE-2024-37054?

CVE-2024-37054 affects all MLflow versions from 0.9.0 up to and including 2.14.1.

4

What type of attack is CVE-2024-37054 associated with?

CVE-2024-37054 is associated with deserialization of untrusted data, allowing malicious PyFunc models to execute arbitrary code.

5

What should I do if I have deployed a vulnerable version of MLflow related to CVE-2024-37054?

If you have deployed a vulnerable version of MLflow, immediately update to a patched version and review your systems for any suspicious activity.

Contact

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