CVE-2024-27132

critical

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.

References

References
More

https://thehackernews.com/2024/12/researchers-uncover-flaws-in-popular.html

https://jfrog.com/blog/machine-learning-bug-bonanza-exploiting-ml-clients-and-safe-models/

https://thehackernews.com/2024/08/researchers-identify-over-20-supply.html

https://research.jfrog.com/vulnerabilities/mlflow-untrusted-recipe-xss-jfsa-2024-000631930/

https://github.com/mlflow/mlflow/pull/10873

Details

Source: Mitre, NVD

Published: 2024-02-23

Updated: 2025-01-22

Risk Information

CVSS v2

Base Score: 10

Vector: CVSS2#AV:N/AC:L/Au:N/C:C/I:C/A:C

Severity: Critical

CVSS v3

Base Score: 9.6

Vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H