CVE-2024-37059: High severity mlflow vulnerability
Published Jun 4, 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.
Affected Software
2 affected components
pip/mlflow>=0.5.0<=2.14.1
Lfprojects Mlflow>=0.5.0
Event History
Jun 4, 2024
CVE Published
via MITRE·12:01 PM
Data Sourced
via MITRE·12:01 PM
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
Frequently Asked Questions
1
What is the severity of CVE-2024-37059?
CVE-2024-37059 is considered a high severity vulnerability because it allows arbitrary code execution on a user's system.
2
How do I fix CVE-2024-37059?
To address CVE-2024-37059, upgrade to a version of MLflow that is newer than 2.14.1.
3
Which versions of MLflow are affected by CVE-2024-37059?
CVE-2024-37059 affects MLflow versions from 0.5.0 to 2.14.1.
4
What kind of attack does CVE-2024-37059 enable?
CVE-2024-37059 enables the execution of arbitrary code via a maliciously uploaded PyTorch model.
5
What is the primary cause of CVE-2024-37059?
The primary cause of CVE-2024-37059 is the deserialization of untrusted data in the MLflow platform.