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.
| Software | From | Fixed in |
|---|---|---|
mlflow
|
- | 2.10.0 |
| lfprojects / mlflow | - | 2.9.2.x |