CVE-2024-27133

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

En bref

Sévérité: HIGH 7.5
EPSS: EPSS 0.66 % · centile 51 (2026-10-27)
État: PUBLISHED
Publiée: 2024-02-23
Mise à jour: 2024-08-22
Attribuée par: JFROG
Statut NVD: 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	Vecteur	Évalué par
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)

Faiblesses (CWE)

CWE-79

Avis

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

Références européennes

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

Configurations affectées (CPE NVD)

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

Produits affectés

Produit	Versions
mlflow	affected 0 ≤ 2.9.2

Références

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