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.

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Advisories
Source ID Title
EUVD EUVD EUVD-2024-0494 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.
Github GHSA Github GHSA GHSA-3v79-q7ph-j75h MLFlow Cross-site Scripting vulnerability leads to client-side Remote Code Execution
Fixes

Solution

No solution given by the vendor.


Workaround

No workaround given by the vendor.

History

Mon, 14 Jul 2025 13:45:00 +0000

Type Values Removed Values Added
Metrics epss

{'score': 0.00212}

epss

{'score': 0.00288}


Wed, 22 Jan 2025 14:15:00 +0000

Type Values Removed Values Added
First Time appeared Lfprojects
Lfprojects mlflow
CPEs cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*
Vendors & Products Lfprojects
Lfprojects mlflow

Projects

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cve-icon MITRE

Status: PUBLISHED

Assigner: JFROG

Published:

Updated: 2024-08-22T18:01:49.002Z

Reserved: 2024-02-20T11:10:51.335Z

Link: CVE-2024-27133

cve-icon Vulnrichment

Updated: 2024-08-02T00:27:59.107Z

cve-icon NVD

Status : Analyzed

Published: 2024-02-23T22:15:55.287

Modified: 2025-01-22T13:46:56.667

Link: CVE-2024-27133

cve-icon Redhat

No data.

cve-icon OpenCVE Enrichment

No data.

Weaknesses