First published: Tue Jun 04 2024(Updated: )
Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.5.0 or newer, enabling a maliciously uploaded PyTorch 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 | >=0.5.0<=2.14.1 | |
MLflow | >=0.5.0 |
Sign up to SecAlerts for real-time vulnerability data matched to your software, aggregated from hundreds of sources.
CVE-2024-37059 is considered a high severity vulnerability because it allows arbitrary code execution on a user's system.
To address CVE-2024-37059, upgrade to a version of MLflow that is newer than 2.14.1.
CVE-2024-37059 affects MLflow versions from 0.5.0 to 2.14.1.
CVE-2024-37059 enables the execution of arbitrary code via a maliciously uploaded PyTorch model.
The primary cause of CVE-2024-37059 is the deserialization of untrusted data in the MLflow platform.