Mlflow
CVE-2025-10279
HIGH
GHSA-4x5p-f36r-mxxr
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A01:2025 - Broken Access Control
ASVS 5.0
V5 - File Handling Temp file permissions
|
| Impact | CVSS 7.0 (HIGH). Attack vector: Local. Complexity: High. Privileges required: Low. User interaction: None. |
| Exploit ScenarioDerived | An attacker could exploit this flaw, arbitrary code execution. |
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Alert meAnalysisAIv1 – Mar 12, 2026
In mlflow version 2.20.3, the temporary directory used for creating Python virtual environments is assigned insecure world-writable permissions (0o777). [CVSS 7.0 HIGH]
RemediationAI
Fixed in version 3.4.0..
Affected Packages
Source: OSV (Open Source Vulnerabilities)
Affects your stack
Affects 1 package in pypi
Checking this CVE against your own stacks and servers is part of the Basic plan and up.
Technical ContextAI · show details
In mlflow version 2.20.3, the temporary directory used for creating Python virtual environments is assigned insecure world-writable permissions (0o777). This vulnerability allows an attacker with write access to the /tmp directory to exploit a race condition and overwrite .py files in the virtual environment, leading to arbitrary code execution. The issue is resolved in version 3.4.0.
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Severity by source
AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H
Primary rating from NVD · only source for this CVE.
CVSS VectorNVD
Lifecycle Timeline
2DescriptionCVE.org
In mlflow version 2.20.3, the temporary directory used for creating Python virtual environments is assigned insecure world-writable permissions (0o777). This vulnerability allows an attacker with write access to the /tmp directory to exploit a race condition and overwrite .py files in the virtual environment, leading to arbitrary code execution. The issue is resolved in version 3.4.0.
Executive ViewAI
MLflow version 2.20.3 contains a privilege escalation vulnerability where temporary virtual environment directories are created with world-writable permissions, allowing unauthorized local users to modify or inject malicious code into Python environments. Organizations running this version face risk of code execution and data compromise, particularly in multi-tenant or shared hosting environments where MLflow is deployed.
Restrict local filesystem access to MLflow processes via SELinux/AppArmor policies; disable world-writable permissions on /tmp and /var/tmp; isolate MLflow in containerized/VM environments with restricted user access; implement directory integrity monitoring; run MLflow with minimal privilege (non-root dedicated user); disable Python virtual environment creation feature if not required for business operations.
Threat Intelligence Overview
NVD
CVE.org
EPSS
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
Remote Code Execution represents the critical moment when an attacker successfully runs arbitrary code on a target system without physical access.
Affected Products (CPE)CVE.org
Server-side request forgery in MLflow before 3.15.0 lets remote unauthenticated attackers coerce the server into making
A path traversal vulnerability exists in mlflow/mlflow version 2.15.1. Rated high severity (CVSS 7.5), this vulnerabilit
Absolute Path Traversal in GitHub repository mlflow/mlflow prior to 2.5.0. Rated critical severity (CVSS 10.0), this vul
Unauthenticated remote code execution in MLflow 3.12.0rc0 through 3.16.x lets any network caller reach the tracking serv
MLflow's FastAPI job endpoints bypass basic-auth entirely, allowing network attackers to submit and execute jobs without
A malicious user could use this issue to get command execution on the vulnerable machine and get access to data & models
A malicious user could use this issue to access internal HTTP(s) servers and in the worst case (ie: aws instance) it cou
An attacker is able to arbitrarily create an account in MLflow bypassing any authentication requirment. Rated critical s
An attacker can overwrite any file on the server hosting MLflow without any authentication. Rated critical severity (CVS
Path Traversal: '\..\filename' in GitHub repository mlflow/mlflow prior to 2.3.1. Rated critical severity (CVSS 9.8), th
Path Traversal: '\..\filename' in GitHub repository mlflow/mlflow prior to 2.2.1. Rated critical severity (CVSS 9.8), th
Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset. Rated critical se
Exploit-DB