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CVE-2026-33865

Stored XSS via unsafe YAML parsing in MLflow

Published: Apr 7, 2026Updated: Apr 20, 2026 Sources: CVE List NVDCWE-79
NVD MITRE
5.4CVSSMEDIUM
EPSS Score
0.2%
Top 88.0%
CISA KEV
Not in KEV
Exploits
No Known Exploits
Remediation
Patch Available

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

CVSS Vector Breakdown

AV:NAC:LPR:LUI:RS:CC:LI:LA:N
Exploitability
AV:NAttack Vector
Network
AC:LAttack Complexity
Low
PR:LPrivileges Required
Low
UI:RUser Interaction
Required
Scope
S:CScope
Changed
Impact
C:LConfidentiality
Low
I:LIntegrity
Low
A:NAvailability
None
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Weaknesses

CWE-79

Affected Products

MlflowMlflow
Mixed
AI / ML / notebook-mlops
mlflowlfprojects
On-premLibrary
AI / ML / notebook-mlops
mlflowoss-projectAI / MLaka mlflow
lfprojectsoss-projectAI / MLaka mlflow, valkey, model context protocol servers, mcp servers

Attack Graph

Products CVE Techniques Tactics

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Exploitability

Official Patch Available

MITRE ATT&CK

2 techniques
Execution
Initial Access
View detailed technique mapping

References

https://github.com/mlflow/mlflow/pull/21435
github.com
https://cert.pl/en/posts/2026/04/CVE-2026-33865/
cert.pl
https://afine.com/blogs/attacking-mlflow-how-ml-artifacts-become-attack-vectors
afine.com

Timeline

Published
Apr 7, 2026
Last Updated
Apr 20, 2026

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