2024-11-28
MLflow, an open-source platform for managing the machine learning lifecycle, has a critical vulnerability that could allow local attackers to escalate their privileges. This vulnerability, identified as CVE-2024-46639, is rated as high severity.
Vulnerability Details:
The vulnerability stems from excessive directory permissions in
Impact:
Successful exploitation of this vulnerability could lead to unauthorized access to sensitive system resources or data.
Mitigation:
As of now, there is no official patch available. It is recommended to avoid using the `spark_udf()` API until a fix is released. Additionally, implementing strict access controls and monitoring system logs for suspicious activity can help mitigate the risk.
Form:
Platform: MLflow
Version: N/A
Vulnerability: Privilege Escalation
Severity: High
Date: Nov 25, 2024
What Undercode Says:
This vulnerability highlights the importance of secure coding practices, even in open-source projects like MLflow. It’s crucial for developers to be aware of potential security risks and to take steps to mitigate them. While waiting for an official patch, organizations using MLflow should consider alternative approaches or carefully assess the risks associated with using the `spark_udf()` API.
This vulnerability also serves as a reminder that even seemingly minor issues can have significant security implications. By staying informed about the latest security threats and adopting best practices, organizations can protect their systems and data from malicious attacks.
References:
Reported By: Github.com
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