CVE-2024-27133

MLFlow Cross-site Scripting vulnerability leads to client-side Remote Code Execution

Published 23 Feb 2024Modified 17 Jun 2026CWE 79

In the Trivy database since at least 24 Oct 2026, 07:11 UTCWhen it arrived before that build is not recorded.

Severity by source

NVD9.6CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H

GHSA9.7CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H

Bitnami9.7CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H

Trivy's own label is CRITICAL. Rated critical by NVD, GHSA, Bitnami.

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.

Affected packages and fixed versions

Source	Package	Fixed in
bitnami::Bitnami Vulnerability Database	mlflow	2.10.0
pip::GitHub Security Advisory pip	mlflow	2.10.0

References

All 9 references

https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/

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RecordsEach decision is recorded with the policy that ran and its hash, then sealed under a signed checkpoint.

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Vulnerability data compiled from the Trivy vulnerability database (trivy-db, Aqua Security, Apache License 2.0), which aggregates third-party advisories. CVE records are published by The MITRE Corporation under the CVE Terms of Use; CVE is a trademark of MITRE. This product uses data from the NVD API but is not endorsed or certified by the NVD. Severity, titles and advisory data from the GitHub Advisory Database (CC BY 4.0), Red Hat security data (CC BY 4.0) and the other sources linked on each entry. Entries may be summarised or re-formatted; the linked original is the authoritative record.