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.
https://thehackernews.com/2024/12/researchers-uncover-flaws-in-popular.html
https://jfrog.com/blog/machine-learning-bug-bonanza-exploiting-ml-clients-and-safe-models/
https://thehackernews.com/2024/08/researchers-identify-over-20-supply.html
https://research.jfrog.com/vulnerabilities/mlflow-untrusted-recipe-xss-jfsa-2024-000631930/