CVE-2024-37052: High severity mlflow vulnerability

Published Jun 4, 2024
·
Updated

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.

Affected Software

3 affected components
pip/mlflow>=1.1.0<=2.13.1
pip/mlflow>=1.1.0<=2.14.1
Lfprojects Mlflow>=1.1.0

Event History

Jun 4, 2024
CVE Published
via MITRE·11:59 AM
Data Sourced
via MITRE·11:59 AM
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-2024-37052?

CVE-2024-37052 is considered a high severity vulnerability due to its potential for executing arbitrary code.

2

How do I fix CVE-2024-37052?

To mitigate CVE-2024-37052, upgrade MLflow to version 2.14.0 or above to prevent deserialization of untrusted data.

3

Which versions of MLflow are affected by CVE-2024-37052?

CVE-2024-37052 affects MLflow versions from 1.1.0 to 2.13.1, including all versions in this range.

4

What causes CVE-2024-37052?

CVE-2024-37052 is caused by the deserialization of untrusted data from a maliciously uploaded scikit-learn model.

5

What impact does CVE-2024-37052 have on systems?

The impact of CVE-2024-37052 allows attackers to run arbitrary code on an end user's system.

Contact

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