PyPi: Mlflow

CVE-2024-4263

Safety vulnerability ID: 71586

This vulnerability was reviewed by experts

The information on this page was manually curated by our Cybersecurity Intelligence Team.

Created at May 16, 2024 Updated at Dec 11, 2024
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Advisory

A broken access control vulnerability exists in mlflow/mlflow affected versions, where low privilege users with only EDIT permissions on an experiment can delete any artifacts. This issue arises due to the lack of proper validation for DELETE requests by users with EDIT permissions, allowing them to perform unauthorized deletions of artifacts. The vulnerability specifically affects the handling of artifact deletions within the application, as demonstrated by the ability of a low privilege user to delete a directory inside an artifact using a DELETE request, despite the official documentation stating that users with EDIT permission can only read and update artifacts, not delete them.

Affected package

mlflow

Latest version: 2.19.0

MLflow is an open source platform for the complete machine learning lifecycle

Affected versions

Fixed versions

Vulnerability changelog

This vulnerability has no description

Resources

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