Vulnerability Description
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.
CVSS Score
HIGH
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Lfprojects | Mlflow | <= 2.9.2 |
Related Weaknesses (CWE)
References
- https://github.com/mlflow/mlflow/pull/10893Issue TrackingPatch
- https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-202ExploitThird Party Advisory
- https://github.com/mlflow/mlflow/pull/10893Issue TrackingPatch
- https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-202ExploitThird Party Advisory
FAQ
What is CVE-2024-27133?
CVE-2024-27133 is a vulnerability with a CVSS score of 7.5 (HIGH). 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 vulnerabil...
How severe is CVE-2024-27133?
CVE-2024-27133 has been rated HIGH with a CVSS base score of 7.5/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2024-27133?
Check the references section above for vendor advisories and patch information. Affected products include: Lfprojects Mlflow.