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CVE-2026-33865: MLflow is vulnerable to Stored Cross-Site Scripting (XSS) caused by unsafe parsing of YAML-based MLmodel artifacts in its web interface

April 7, 2026 (updated April 24, 2026)

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

  • afine.com/blogs/attacking-mlflow-how-ml-artifacts-become-attack-vectors
  • cert.pl/en/posts/2026/04/CVE-2026-33865
  • github.com/advisories/GHSA-fh64-r2vc-xvhr
  • github.com/mlflow/mlflow
  • github.com/mlflow/mlflow/commit/aca4dd0ec88a12f7655155c224371280e9b45dda
  • github.com/mlflow/mlflow/pull/21435
  • nvd.nist.gov/vuln/detail/CVE-2026-33865

Code Behaviors & Features

Detect and mitigate CVE-2026-33865 with GitLab Dependency Scanning

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Affected versions

All versions before 3.11.1

Fixed versions

  • 3.11.1

Solution

Upgrade to version 3.11.1 or above.

Impact 5.4 MEDIUM

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

Learn more about CVSS

Weakness

  • CWE-79: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')

Source file

pypi/mlflow/CVE-2026-33865.yml

Spotted a mistake? Edit the file on GitLab.

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