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.
Metrics
Affected Vendors & Products
References
History
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 |

Status: PUBLISHED
Assigner: JFROG
Published: 2024-02-23T22:00:33.124Z
Updated: 2024-08-22T18:01:49.002Z
Reserved: 2024-02-20T11:10:51.335Z
Link: CVE-2024-27133

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

Status : Analyzed
Published: 2024-02-23T22:15:55.287
Modified: 2025-01-22T13:46:56.667
Link: CVE-2024-27133

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