Goal Reached Thanks to every supporter — we hit 100%!

Goal: 1000 CNY · Raised: 1359 CNY

100%
Buy Us a Coffee

CVE-2025-15379— Command Injection in mlflow/mlflow

Quick assessment

Affected
mlflow mlflow/mlflow
Exploitation
No confirmed in-the-wild exploitation; assess based on exposure
Recommended action
Check the vendor advisory and references for a fixed version. If immediate upgrade is impossible, restrict exposure and increase monitoring.

MLflow是MLflow开源的一个简化机器学习开发的平台，包括跟踪实验、将代码打包成可重复的运行以及共享和部署模型。 MLflow 3.8.0版本存在命令注入漏洞，该漏洞源于_install_model_dependencies_to_env函数在部署模型时未清理依赖项规范，可能导致命令注入攻击，进而执行任意命令。

AI Predicted 8.4 Difficulty: Easy EPSS 2.36% · P83

Possible ATT&CK Techniques 1 AI

T1190 · Exploit Public-Facing Application

Affected Version Matrix 1

VendorProduct Version RangeStatus
mlflow mlflow/mlflow unspecified< 3.8.2 affected
Get alerts for future matching vulnerabilities Log in to subscribe

I. Basic Information for CVE-2025-15379

Vulnerability Information
Have questions about the vulnerability? See if Shenlong's analysis helps!
View Shenlong Deep Dive ↗

Although we use advanced large model technology, its output may still contain inaccurate or outdated information.Shenlong tries to ensure data accuracy, but please verify and judge based on the actual situation.

Vulnerability Title
Command Injection in mlflow/mlflow
Source: CVE Program / CVE List V5
Vulnerability Description
A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the `_install_model_dependencies_to_env()` function. When deploying a model with `env_manager=LOCAL`, MLflow reads dependency specifications from the model artifact's `python_env.yaml` file and directly interpolates them into a shell command without sanitization. This allows an attacker to supply a malicious model artifact and achieve arbitrary command execution on systems that deploy the model. The vulnerability affects versions 3.8.0 and is fixed in version 3.8.2.
Source: CVE Program / CVE List V5
CVSS Information
N/A
Source: CVE Program / CVE List V5
Vulnerability Type
在命令中使用的特殊元素转义处理不恰当(命令注入)
Source: CVE Program / CVE List V5
Vulnerability Title
MLflow 命令注入漏洞
Source: CNNVD (China National Vulnerability Database)
Vulnerability Description
MLflow是MLflow开源的一个简化机器学习开发的平台，包括跟踪实验、将代码打包成可重复的运行以及共享和部署模型。 MLflow 3.8.0版本存在命令注入漏洞，该漏洞源于_install_model_dependencies_to_env函数在部署模型时未清理依赖项规范，可能导致命令注入攻击，进而执行任意命令。
Source: CNNVD (China National Vulnerability Database)
CVSS Information
N/A
Source: CNNVD (China National Vulnerability Database)
Vulnerability Type
N/A
Source: CNNVD (China National Vulnerability Database)

Affected Products

Vendor Product Affected Versions CPE Subscribe
mlflow mlflow/mlflow unspecified ~ 3.8.2 -

II. Public POCs for CVE-2025-15379

# POC Description Source Link Shenlong Link
AI-Generated POC Premium

No public POC found.

Login to generate AI POC

III. Intelligence Information for CVE-2025-15379

请登录查看更多情报信息。

Patches & Fixes for CVE-2025-15379 (1)

Vendor Advisories for CVE-2025-15379 (1)

IV. Related Vulnerabilities

Same product: mlflow/mlflow
Same vendor: mlflow
Same weakness: CWE-77

V. Comments for CVE-2025-15379

No comments yet

Leave a comment