First published: Tue Jun 04 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.
Credit: 6f8de1f0-f67e-45a6-b68f-98777fdb759c 6f8de1f0-f67e-45a6-b68f-98777fdb759c
Affected Software | Affected Version | How to fix |
---|---|---|
pip/mlflow | >=1.1.0<=2.14.1 | |
MLflow | >=1.1.0 |
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The severity of CVE-2024-37053 is classified as critical due to its potential to allow arbitrary code execution.
To fix CVE-2024-37053, upgrade your MLflow platform to a version later than 2.14.1 that is not affected.
MLflow versions from 1.1.0 to 2.14.1 are affected by CVE-2024-37053.
CVE-2024-37053 is a deserialization vulnerability that can be exploited by untrusted data.
Exploitation of CVE-2024-37053 could allow a maliciously uploaded model to execute arbitrary code on the affected system.