by Kastro
Paper/Archive/CVE-2024-27133

CVE-2024-27133

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

EPSS 0.7%public exploitCVSS 9.6
critical.is priorityof 100
49
CVSS 9.6 (NVD)9.6 / 10 × 3028.8Not in CISA KEV+300.0EPSS percentile 51.4.514 × 2010.3Exploit: SSVC poc+1010.0SSVC exploitation: poc+100.0
Description · from the CVE record

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

ProductAffectedFixed inSource
mlflow≤ 2.9.2–CNA
mlflow≤ 2.9.2–CISA-ADP

Scores by source

NVD9.6CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H
JFROG (CNA)7.5CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H
CISA ADPSSVCExploitation: poc · Automatable: no · Technical impact: partial

References

refresearch.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932refgithub.com/mlflow/mlflow/pull/10893