First published: Tue Jun 04 2024(Updated: )
Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0rc0 or newer, enabling a maliciously uploaded Tensorflow 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 | >=2.0.0rc0<=2.14.1 | |
MLflow | >=2.0.0 |
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CVE-2024-37057 is considered a critical vulnerability due to the potential for arbitrary code execution from untrusted data deserialization.
To fix CVE-2024-37057, upgrade the MLflow platform to a version later than 2.14.1.
MLflow versions from 2.0.0rc0 up to and including 2.14.1 are affected by CVE-2024-37057.
Exploiting CVE-2024-37057 allows a malicious Tensorflow model to execute arbitrary code on the user’s system.
Yes, all users of MLflow versions 2.0.0rc0 to 2.14.1 should be aware of CVE-2024-37057 and take action.