CVE-2024-27133

Published: Feb 23, 2024Modified: Jun 17, 2026

9.6

Vector

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H

Exploitability: 2.8 / Impact: 6.0

Source: 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.

Affected (1)

Products: Lfprojects: Mlflow

1 product

Configuration A

1 vulnerable

Vulnerable Software	Affected Versions
Lfprojects Mlflow	Up to 2.9.2

Related CWEs

Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')

The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users.

References (4)

https://github.com/mlflow/mlflow/pull/10893

Source: reefs@jfrog.com

Issue TrackingPatch

https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/

Source: reefs@jfrog.com

ExploitThird Party Advisory

https://github.com/mlflow/mlflow/pull/10893

Source: af854a3a-2127-422b-91ae-364da2661108

Issue TrackingPatch

https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/

Source: af854a3a-2127-422b-91ae-364da2661108

ExploitThird Party Advisory

Timeline

No history available yet.