Safety vulnerability ID: 68487
The information on this page was manually curated by our Cybersecurity Intelligence Team.
Insufficient sanitization in MLflow leads to XSS when running an untrusted recipe. This issue leads to a client-side RCE when running an untrusted recipe in Jupyter Notebook. The vulnerability stems from lack of sanitization over template variables.
Latest version: 2.19.0
MLflow is an open source platform for the complete machine learning lifecycle
This vulnerability has no description
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