CVE-2024-27133
HIGHMLflow < 2.9.2 and 2.9.2-2.10.0 - Stored Cross-Site Scripting in Dataset Table Fields
Title source: llmDescription
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.
References (2)
Core 2
Core References
Issue Tracking, Patch
https://github.com/mlflow/mlflow/pull/10893
Exploit, Third Party Advisory
https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/
Scores
CVSS v3
7.5
EPSS
0.0020
EPSS Percentile
42.4%
Attack Vector
NETWORK
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H
CISA SSVC
Vulnrichment
Exploitation
poc
Automatable
no
Technical Impact
partial
Details
CWE
CWE-79
Status
published
Products (2)
lfprojects/mlflow
< 2.9.2
pypi/mlflow
0 - 2.10.0PyPI
Published
Feb 23, 2024
Tracked Since
Feb 18, 2026