AI Threat Alert
CVE-2024-27133
CRITICAL
Published February 23, 2024
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...
Full analysis pending. Showing NVD description excerpt.
Affected Systems
| Package | Ecosystem | Vulnerable Range | Patched |
|---|---|---|---|
| mlflow | pip | — | No patch |
Do you use mlflow? You're affected.
Severity & Risk
CVSS 3.1
9.6 / 10
EPSS
N/A
KEV Status
Not in KEV
Sophistication
N/A
Recommended Action
No patch available
Monitor for updates. Consider compensating controls or temporary mitigations.
Compliance Impact
Compliance analysis pending. Sign in for full compliance mapping when available.
Technical Details
NVD 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.
Weaknesses (CWE)
CVSS Vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H References
- github.com/mlflow/mlflow/pull/10893 Issue Patch
- research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/ Exploit 3rd Party
- github.com/mlflow/mlflow/pull/10893 Issue Patch
- research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/ Exploit 3rd Party
Timeline
Published
February 23, 2024
Last Modified
January 22, 2025
First Seen
February 23, 2024