Description
MLflow is vulnerable to Stored Cross-Site Scripting (XSS) caused by unsafe parsing of YAML-based MLmodel artifacts in its web interface. An authenticated attacker can upload a malicious MLmodel file containing a payload that executes when another user views the artifact in the UI. This allows actions such as session hijacking or performing operations on behalf of the victim. This issue affects MLflow version through 3.10.1
References (3)
Core 3
Core References
Patch patch
https://github.com/mlflow/mlflow/pull/21435
Third Party Advisory third-party-advisory
https://cert.pl/en/posts/2026/04/CVE-2026-33865/
Exploit exploit
technical-description
https://afine.com/blogs/attacking-mlflow-how-ml-artifacts-become-attack-vectors
Scores
CVSS v3
5.4
EPSS
0.0001
EPSS Percentile
1.3%
Attack Vector
NETWORK
CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N
CISA SSVC
Vulnrichment
Exploitation
poc
Automatable
no
Technical Impact
partial
Details
CWE
CWE-79
Status
published
Products (3)
lfprojects/mlflow
< 3.10.1
Mlflow/Mlflow
< 3.10.1
pypi/mlflow
0 - 3.11.1PyPI
Published
Apr 07, 2026
Tracked Since
Apr 07, 2026