CVE-2025-15031: Mlflow Arbitrary File Write Vulnerability

HIGH
Advisory Identifier: GHSA-fhff-qmm8-h2fp
Share
CVSS 8.1
CWE-22
Published
Advisory Summary

CVE-2025-15031 is a HIGH (CVSS 8.1) arbitrary file write vulnerability (CWE-22: Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')) affecting Mlflow libraries in the PyPI ecosystem. The issue involves arbitrary file write via tar traversal in mlflow. Remediation is available by upgrading affected packages to version 3.9.0rc0.

CVE-2025-15031 at a Glance

CVE Identifier CVE-2025-15031
GHSA Identifier GHSA-fhff-qmm8-h2fp
Severity HIGH
CVSS v3.1 Base Score 8.1
CWE Classification CWE-22: Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Affected Product Mlflow
Package Ecosystem PyPI
Published Date
Last Updated

Security Impact

CVSS: 8.1

The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.0/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N).

Attack Vector Adjacent (AV:A)
Attack Complexity Low (AC:L)
Privileges Required None (PR:N)
User Interaction None (UI:N)
Scope Unchanged (S:U)
Confidentiality High (C:H)
Integrity High (I:H)
Availability None (A:N)

How to Fix CVE-2025-15031

To remediate this vulnerability, upgrade all affected Mlflow dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.

mlflow fixed: 3.9.0rc0 
pip install mlflow>=3.9.0rc0
Verify Direct and Transitive Dependencies

Run the following command in your project directory to verify that all resolved dependencies use the patched release: 

pip show mlflow

How to Check if You Are Affected

To determine whether your Python environment is affected by CVE-2025-15031, inspect your installed packages using pip:

pip show mlflow

Analyze the terminal output to locate any version of Mlflow in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 3.9.0rc0), your application is affected.

Note: The pip show mlflow command checks currently installed packages in your active Python environment.

Technical Details

Vulnerability Mechanism & Technical Analysis

This vulnerability is classified under CWE-22: Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal'), where the product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory. In Mlflow, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.

Source Advisory Statement

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.

CVE-2025-15031 Affected Mlflow Versions

1 component(s)
Fixed Versions:
3.9.0rc0
Product / Package Ecosystem Affected Versions Fixed Version
mlflow
pypi/mlflow
PyPI
< 3.9.0rc0
3.9.0rc0

References

NVD — CVE-2025-15031 NVD
https://nvd.nist.gov/vuln/detail/CVE-2025-15031
Security Fix Commit FIX COMMIT
https://github.com/mlflow/mlflow/commit/3bf6d81ac4d38654c8ff012dbd0c3e9f17e7e346
Mlflow Source Repository REPOSITORY
https://github.com/mlflow/mlflow
Mlflow Source Repository REPOSITORY
https://github.com/mlflow/mlflow/blob/fe4d9be330426904283401f1d2ed914238b6fc37/mlflow/pyfunc/dbconnect_artifact_cache.py#L140
huntr.com/bounties/09856f77-f... WEB
https://huntr.com/bounties/09856f77-f968-446f-a930-657d126efe4e

Frequently Asked Questions

What is CVE-2025-15031?
CVE-2025-15031 is a security vulnerability in Mlflow involving Arbitrary file write via tar traversal in mlflow under CWE-22: Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal').
Which Mlflow versions are affected?
Affected versions include releases prior to 3.9.0rc0 across affected packages: mlflow.
What version fixes CVE-2025-15031?
Upgrading to 3.9.0rc0 (or the latest patched release for your respective branch) resolves the vulnerability.
Is mlflow affected?
Yes, mlflow is affected in releases prior to 3.9.0rc0. Upgrade your dependency to 3.9.0rc0 or later.
What is the CVSS score of CVE-2025-15031?
CVE-2025-15031 has a CVSS v3.1 base score of 8.1 (HIGH) with vector string CVSS:3.0/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N.
What CWE is associated with CVE-2025-15031?
CVE-2025-15031 is classified under CWE-22: Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal') (The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory.).
How can I check PyPI dependencies for CVE-2025-15031?
Run the dependency tree command: 'pip show mlflow'. This command lists direct and transitive dependencies in your build configuration so you can verify if a vulnerable version is resolved.
Machine-readable OSV JSON OSV v1.5 Schema
Normalized schema output
View Raw JSON 
{
  "schema_version" : "1.4.0",
  "id" : "GHSA-fhff-qmm8-h2fp",
  "modified" : "2026-03-19T17:56:46Z",
  "published" : "2026-03-19T00:30:20Z",
  "aliases" : [ "CVE-2025-15031" ],
  "summary" : "Arbitrary file write via tar traversal in mlflow",
  "details" : "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.",
  "severity" : [ {
    "type" : "CVSS_V3",
    "score" : "CVSS:3.0/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N"
  } ],
  "affected" : [ {
    "package" : {
      "ecosystem" : "PyPI",
      "name" : "mlflow"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "0"
      }, {
        "fixed" : "3.9.0rc0"
      } ]
    } ]
  } ],
  "references" : [ {
    "type" : "ADVISORY",
    "url" : "https://nvd.nist.gov/vuln/detail/CVE-2025-15031"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/mlflow/mlflow/commit/3bf6d81ac4d38654c8ff012dbd0c3e9f17e7e346"
  }, {
    "type" : "PACKAGE",
    "url" : "https://github.com/mlflow/mlflow"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/mlflow/mlflow/blob/fe4d9be330426904283401f1d2ed914238b6fc37/mlflow/pyfunc/dbconnect_artifact_cache.py#L140"
  }, {
    "type" : "WEB",
    "url" : "https://huntr.com/bounties/09856f77-f968-446f-a930-657d126efe4e"
  } ],
  "database_specific" : {
    "cwe_ids" : [ "CWE-22" ],
    "severity" : "HIGH",
    "github_reviewed" : true,
    "github_reviewed_at" : "2026-03-19T17:56:46Z",
    "nvd_published_at" : "2026-03-18T23:17:28Z"
  }
}