Workflow

PyPi: Mlflow

CVE-2024-27133

Safety vulnerability ID: 68486

This vulnerability was reviewed by experts

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

Created at Feb 23, 2024 Updated at Dec 11, 2024
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Advisory

Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset. This issue leads to a client-side RCE when running the recipe in Jupyter Notebook. The vulnerability stems from lack of sanitization over dataset table fields.

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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