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.
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This high-severity CVE scores 7.5 under NVD CVSS v3. EPSS exploit probability: 0.2%, top 52% of all CVEs by exploit prediction. GitHub Security Advisory data not yet ingested — confidence will rise once GHSA publishes (typical lag: hours to days for open-source ecosystem CVEs; never for infrastructure-only CVEs).
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.
February 23, 2024
January 22, 2025
| Package | Vulnerable range | Fixed in | Dependents |
|---|---|---|---|
| mlflow | 0.0.1 ... 2.9.2 (86 versions) | 2.10.0 | — |
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