CVE-2024-37052

At a glance

Severity: HIGH 8.8
EPSS: EPSS 0.69 % · percentile 53 (2026-10-27)
State: PUBLISHED
Published: 2024-06-04
Updated: 2024-08-02
Assigner: HiddenLayer
NVD status: Analyzed

Description

Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with.

Scores

Version	Score	Vector	Scored by
CVSS 3.1	HIGH 8.8	CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H	HiddenLayer
CVSS 3.1	HIGH 8.8	CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H	NVD · 6f8de1f0-f67e-45a6-b68f-98777fdb759c (Secondary)
CVSS 3.1	HIGH 8.8	CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H	NVD · nvd@nist.gov (Primary)

Weaknesses (CWE)

CWE-502

Advisories

GHSA-76cg-cfhx-373f — MLFlow unsafe deserialization
PYSEC-2026-1643 — MLFlow unsafe deserialization

European references

ENISA EUVD · EUVD-2024-1956
GCVE · GCVE-0-2024-37052

Affected configurations (NVD CPE)

cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:* ≥ 1.1.0

Affected products

Product	Versions
MLflow · MLflow	affected 1.1.0 ≤ *

References

https://hiddenlayer.com/sai-security-advisory/mlflow-june2024

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