Review reviewCritical

CVE-2025-15031

mlflow mlflow/mlflow, Red Hat OpenShift AI (RHOAI), mlflow

A vulnerability in MLflow's pyfunc extraction process allows for arbitrary file writes due to improper handling of tar archive entries. Specifically, the use of `tarfile.extractall` without path validation enables crafted tar.gz files containing `..` or absolute paths to escape the intended extraction directory. This issue affects the latest version of MLflow and poses a high/critical risk in scenarios involving multi-tenant environments or ingestion of untrusted artifacts, as it can lead to arbitrary file overwrites and potential remote code execution.

CVSS: 9.1
EPSS: 0.85%
CISA KEV: Not listed
Published: 2026.03.19

PRIORITY ASSESSMENT

Review review

The CVSS severity warrants an early asset and exposure review.

Known exploitationNot established by KEV

Exploit probability0.85%

Technical severityCVSS 9.1

Vulnerability overview

Affected product and versions

Product: mlflow mlflow/mlflow, Red Hat OpenShift AI (RHOAI), mlflow
Affected versions: >= unspecified <= latest, <= 3.10.1
Fixed versions: No verified fixed-version field is available yet

Recommended response sequence

Confirm exposure before applying a vendor-supported change.

Full remediation guide

1
Identify
Confirm that mlflow mlflow/mlflow, Red Hat OpenShift AI (RHOAI), mlflow and an affected version are present.
2
Prioritize
Combine exploitation signals with asset exposure and business criticality.
3
Remediate
Follow the vendor advisory or supported update path and preserve rollback options.
4
Verify
Recheck the version, service health, access paths, and relevant logs.

Technical data

CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N
CWE: CWE-22