Vulnerability Monitor

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CVE-2024-27133

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.

Published

2024-02-23T22:15:55.287

Last Modified

2025-01-22T13:46:56.667

Status

Analyzed

Source

[email protected]

Severity

CVSSv3.1: 7.5 (HIGH)

Weaknesses

Type: Primary
CWE-79

Affected Vendors & Products

Type	Vendor	Product	Version/Range	Vulnerable?
Application	lfprojects	mlflow	≤ 2.9.2	Yes

References

https://github.com/mlflow/mlflow/pull/10893 Issue Tracking, Patch ([email protected])
https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/ Exploit, Third Party Advisory ([email protected])
https://github.com/mlflow/mlflow/pull/10893 Issue Tracking, Patch (af854a3a-2127-422b-91ae-364da2661108)
https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/ Exploit, Third Party Advisory (af854a3a-2127-422b-91ae-364da2661108)