CVE-2024-27133
Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset.
CRITICAL 9.6EPSS 0.7%
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.
- Affected
- mlflow
- CVSS v3.1 NVD
- 9.6 CRITICAL
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H - CVSS v3.1 JFROG
- 7.5 HIGH
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H - EPSS
- 0.66% chance of exploitation in the next 30 days, 50th percentile
- Published
- 2024-02-23
- Updated
- 2024-08-22
Proof-of-concept exploits (1)
Security advisories
- https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-0006319…
- advisories/GHSA-3v79-q7ph-j75h
- mlflow/mlflow/pull/10893