First published: Tue Jun 04 2024(Updated: )
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.23.0 or newer, enabling a maliciously uploaded LightGBM 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 | >=1.23.0<=2.13.1 | |
pip/mlflow | >=1.23.0<=2.14.1 | |
MLflow | >=1.23.0 |
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CVE-2024-37056 is considered a high severity vulnerability due to the potential for arbitrary code execution.
To fix CVE-2024-37056, upgrade to a version of MLflow that is newer than 2.14.1.
CVE-2024-37056 allows a malicious user to upload a LightGBM scikit-learn model that can execute arbitrary code.
MLflow versions from 1.23.0 up to 2.14.1 are affected by CVE-2024-37056.
CVE-2024-37056 allows untrusted data deserialization, leading to possible arbitrary code execution on user systems.