CVE-2025-15031
Path Traversal Vulnerability in mlflow/mlflow
Description
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.
INFO
Published Date :
March 18, 2026, 11:17 p.m.
Last Modified :
March 19, 2026, 3:16 p.m.
Remotely Exploit :
No
Source :
[email protected]
CVSS Scores
| Score | Version | Severity | Vector | Exploitability Score | Impact Score | Source |
|---|---|---|---|---|---|---|
| CVSS 3.0 | HIGH | [email protected] |
Solution
- Update MLflow to the latest version.
- Validate tar archive contents before extraction.
- Avoid extracting untrusted archives.
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2025-15031.
| URL | Resource |
|---|---|
| https://huntr.com/bounties/09856f77-f968-446f-a930-657d126efe4e | |
| https://huntr.com/bounties/09856f77-f968-446f-a930-657d126efe4e |
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2025-15031 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2025-15031
weaknesses.
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2025-15031 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2025-15031 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
CVE Modified by 134c704f-9b21-4f2e-91b3-4a467353bcc0
Mar. 19, 2026
Action Type Old Value New Value Added Reference https://huntr.com/bounties/09856f77-f968-446f-a930-657d126efe4e -
New CVE Received by [email protected]
Mar. 18, 2026
Action Type Old Value New Value Added Description 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. Added CVSS V3 AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N Added CWE CWE-22 Added Reference https://huntr.com/bounties/09856f77-f968-446f-a930-657d126efe4e