Improper Origin Validation in MLflow Assistant /ajax-api Endpoints Enables Browser-Mediated Local Command Execution

Description Analyzed project version: MLflow 3.9.0 /version, commit 6e61043b0ff5d845bea479d7e7ea24dcd4b2c629. In MLflow 3.9.0, a new feature called MLflow Assistant was introduced, intended only for local development and designed to integrate with Claude Code accepting requests only from loopback...

Arbitrary File Read via Prompt Tag Source Validation Bypass in CreateModelVersion

The createmodelversion handler in mlflow/server/handlers.py uses a client-controlled tag to decide whether to skip source path validation. When a CreateModelVersion request includes the tag mlflow.prompt.isprompt, the helper ispromptrequest returns True, and the entire source validation block...

SSRF in MLflow via user-controlled webhook URL parameter

Description A Server-Side Request Forgery SSRF vulnerability exists in the webhook creation functionality of MLflow. The createwebhook handler accepts a user-controlled url parameter and stores it without any validation. When webhooks are tested or triggered, the sendwebhookrequest function sends...

CVE-2025-10279

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...

GHSA-76CG-CFHX-373F vulnerabilities

Vulnerabilities for packages: mlflow...

CVE-2024-37052 vulnerabilities

Vulnerabilities for packages: mlflow...

mlflow Creates of Temporary File in Directory with Insecure Permissions

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...

GHSA-4X5P-F36R-MXXR mlflow Creates of Temporary File in Directory with Insecure Permissions

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...

CVE-2025-10279

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...

CVE-2025-10279 Privilege Escalation in mlflow/mlflow

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...

CVE-2025-10279

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...

CVE-2025-10279 Privilege Escalation in mlflow/mlflow

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...

EUVD-2025-206598

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...

CVE-2025-10279

CVE-2025-10279 affects mlflow 2.20.3 where the temporary directory used to create Python virtual environments is created with world-writable permissions (0o777). This insecure permission setup enables a local attacker with write access to /tmp to race and overwrite .py files inside the venv, enab...

CVE-2025-10279 Privilege Escalation in mlflow/mlflow

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...

Security Bulletin: The IBM Maximo Application Suite AI-Service component uses multiple third-party dependencies that contain vulnerabilities associated with multiple CVEs.

Summary The IBM Maximo Application Suite AI-Service component uses"langchaincore-0.3.29-py3-none-any.whl, langchaincore-0.3.80-py3-none-any.whl, jsonpath-plus-8.1.0.tgz, mlflow-2.19.0-py3-none-any.whl, pg8000-1.31.2-py3-none-any.whl" which are vulnerable to "CVE-2025-68664, CVE-2024-21534,...

CVE-2025-10279: Creation of Temporary File in Directory with Insecure Permissions

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...

MLflow 安全漏洞

MLFlow is an open-source platform that simplifies machine learning development. It includes features like tracking experiments, packaging code for reproducible executions, and sharing and deploying models. Version 2.20.3 of MLFlow contains a security vulnerability. This vulnerability stems from...

PT-2026-5652

Name of the Vulnerable Software and Affected Versions mlflow versions prior to 3.4.0 Description A flaw exists in mlflow version 2.20.3 where the temporary directory used for creating Python virtual environments is assigned insecure world-writable permissions 0o777. This allows an attacker with...

Introducing ÆSIR: Finding Zero-Day Vulnerabilities at the Speed of AI

TrendAI™’s ÆSIR platform combines AI automation with expert oversight to discover zero-day vulnerabilities in AI infrastructure – 21 CVEs across NVIDIA, Tencent, and MLflow since mid-2025...