CVE-2024-27133

Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset.

At a glance

Severity: HIGH 7.5
EPSS: EPSS 0.66 % · percentile 51 (2026-10-27)
State: PUBLISHED
Published: 2024-02-23
Updated: 2024-08-22
Assigner: JFROG
NVD status: Analyzed

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.

Scores

Version	Score	Vector	Scored by
CVSS 3.1	HIGH 7.5	CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H	JFROG
CVSS 3.1	HIGH 7.5	CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H	NVD · reefs@jfrog.com (Secondary)
CVSS 3.1	CRITICAL 9.6	CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H	NVD · nvd@nist.gov (Primary)

Weaknesses (CWE)

CWE-79

Advisories

GHSA-3v79-q7ph-j75h — MLFlow Cross-site Scripting vulnerability leads to client-side Remote Code Execution
PYSEC-2024-241 — 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 re

European references

ENISA EUVD · EUVD-2024-0494
GCVE · GCVE-0-2024-27133

Affected configurations (NVD CPE)

cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:* ≤ 2.9.2

Affected products

Product	Versions
mlflow	affected 0 ≤ 2.9.2

References

Sources

Source	Licence
CVE List (CVEProject cvelistV5)	CVE Program Terms of Use
EPSS (FIRST.org)	FIRST — attribution requested
ENISA EUVD	ENISA — reproduction authorised, source acknowledged
NVD (NIST) via fkie-cad/nvd-json-data-feeds	Public domain — this product uses data from the NVD API but is not endorsed or certified by the NVD