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Status published
High
CVE-2024-27133
Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset.
Vulnerability Description
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.
Impact Analysis
Refer to official advisory for detailed impact metrics.
Remediation
Ensure systems are updated to the latest vendor-supplied patch levels.
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Credits & Attribution
No credits recorded in the NVD database.
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Affected Vendor
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View all reports →Affected Software
Unknown
Vulnerable Versions:
0
Timeline
Official Publish:
February 23rd, 2024
Last Modified:
August 22nd, 2024
Added to House:
July 22nd, 2026
CVSS Vectors
V3:
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H