VulnerabilityAnalyzed
CVE-2024-27132
Insufficient sanitization in MLflow leads to XSS when running an untrusted recipe.
CRITICAL 9.6EPSS 0.88%
Does this matter?
High impact if exploited, but EPSS currently rates exploitation as unlikely (0.88%). Schedule it in the normal patch cycle and watch for a rise in EPSS or a public exploit.
Description
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.
- CVSS 3.1
- 9.6 CRITICALCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H
- EPSS
- 0.88% probability · 57th percentile
- CISA KEV
- Not listed
- Weakness
- CWE-79
- Affected
- lfprojects/mlflow
- Source
- reefs@jfrog.com
References
- https://github.com/mlflow/mlflow/pull/10873Issue Tracking, Patch
- https://research.jfrog.com/vulnerabilities/mlflow-untrusted-recipe-xss-jfsa-2024-000631930/Exploit, Third Party Advisory
- https://github.com/mlflow/mlflow/pull/10873Issue Tracking, Patch
- https://research.jfrog.com/vulnerabilities/mlflow-untrusted-recipe-xss-jfsa-2024-000631930/Exploit, Third Party Advisory
Source: NVD record, EPSS from FIRST.org, KEV from CISA. Refreshed daily.