---
id: CVE-2025-15379
title: >-
  A command injection vulnerability exists in MLflow's model serving container
  initialization code, specifically in the
  `_install_model_dependencies_to_env()` function
summary: >-
  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 dependen…
severity: critical
cvss: 10
cvssVector: 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H'
cwe:
  - CWE-77
  - CWE-78
vendor: lfprojects
product: mlflow
affected:
  - 'mlflow >= 3.8.0, < 3.8.1'
patched:
  - mlflow 3.8.1
published: '2026-03-30'
updated: '2026-09-04'
source: NVD
sourceUrl: 'https://nvd.nist.gov/vuln/detail/CVE-2025-15379'
references:
  - url: >-
      https://github.com/mlflow/mlflow/commit/361b6f620adf98385c6721e384fb5ef9a30bb05e
    label: security@huntr.dev
  - url: 'https://huntr.com/bounties/dc9c1c20-7879-4050-87df-4d095fe5ca75'
    label: security@huntr.dev
  - url: 'https://access.redhat.com/security/cve/CVE-2025-15379'
    label: 0b0ca135-0b70-47e7-9f44-1890c2a1c46c
  - url: 'https://bugzilla.redhat.com/show_bug.cgi?id=2452949'
    label: 0b0ca135-0b70-47e7-9f44-1890c2a1c46c
  - url: >-
      https://security.access.redhat.com/data/csaf/v2/vex/2025/cve-2025-15379.json
    label: 0b0ca135-0b70-47e7-9f44-1890c2a1c46c
  - url: 'https://nvd.nist.gov/vuln/detail/CVE-2025-15379'
  - url: >-
      https://github.com/mlflow/mlflow/commit/a22ce7157f646bdce4c95106fc38ccc9ca289205
  - url: 'https://github.com/mlflow/mlflow'
tags:
  - nvd
  - osv
  - pip
epss: 0.02359
epssPercentile: 0.83049
ingestedAt: '2026-09-04T20:27:15.592Z'
aliases:
  - GHSA-r23q-823p-vmf7
  - BIT-mlflow-2025-15379
  - PYSEC-2026-423
ecosystem: pip
---

## Overview

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.

## Affected

- `mlflow >= 3.8.0, < 3.8.1`

## Remediation

Upgrade past the affected range:

- `mlflow 3.8.1`

## Package advisory (CVE-2025-15379)

Affected packages:

- `mlflow < 3.8.1`

Patched in:

- `mlflow 3.8.1`

Source: https://osv.dev/vulnerability/GHSA-r23q-823p-vmf7