---
title: "CVE-2025-15379: MLflow Command Injection vulnerability"
url: https://erroneo.us/security/cve/CVE-2025-15379/
description: "CVE-2025-15379 (mlflow (PyPI)): A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the…"
type: vulnerability-record
section: "Security Digest"
date_published: 2026-03-30
date_modified: 2026-09-07
publisher: erroneo.us
author: erroneo.us Security Desk
cve: "CVE-2025-15379"
kev: false
cvss: 9
epss: 0.02359
license: All rights reserved. Quote with attribution and a link.
---

# CVE-2025-15379: MLflow Command Injection vulnerability

**Signal:** Critical, preconditions apply. Severe if exploited, but exploitation needs conditions that may not apply to you. (Computed from CISA KEV, EPSS and CVSS; not an editorial verdict.)

## Should you act?

- Not in CISA KEV , but CISA’s SSVC assessment records a public proof-of-concept, so attack code exists.
- EPSS 2.4% , percentile 84: FIRST’s model estimates a 2.4% chance of exploitation activity in the next 30 days, higher than 84% of all scored CVEs (elevated). EPSS is a probability, not a verdict.
- Needs an account (low (any account)). Exposure depends on who can log in.
- Only applies if your dependency tree includes mlflow (PyPI) < 3.8.1, fixed in 3.8.1 . Check your lockfile, including transitive dependencies.

## What it is

A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the installmodeldependenciestoenv() function. When deploying a model with envmanager=LOCAL, MLflow reads dependency specifications from the model artifact's pythonenv.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 packages

- PyPI `mlflow` < 3.8.1 → fixed: 3.8.1

## Affected products (CVE record)

- mlflow mlflow/mlflow: unspecified < 3.8.2

## Severity

- @huntr_ai CVSS 3.0: 10 `CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H`
- redhat-SADP CVSS 3.1: 9 `CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:H`
- GitHub CVSS 3.1: 10.0 `CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H`

## Exploitation

- CISA KEV: not listed (no confirmed in-the-wild exploitation known to CISA).
- CISA SSVC assessment: exploitation poc , automatable yes , technical impact total .
- FIRST EPSS (model of 2026-10-21): 2.36% probability of exploitation activity in the next 30 days; percentile 84.

## Sources

- [GitHub Advisory GHSA-r23q-823p-vmf7](https://github.com/advisories/GHSA-r23q-823p-vmf7)
- [CVE.org record CVE-2025-15379](https://www.cve.org/CVERecord?id=CVE-2025-15379)
- [NVD entry CVE-2025-15379](https://nvd.nist.gov/vuln/detail/CVE-2025-15379)
- [huntr.com](https://huntr.com/bounties/dc9c1c20-7879-4050-87df-4d095fe5ca75)
- [github.com](https://github.com/mlflow/mlflow/commit/361b6f620adf98385c6721e384fb5ef9a30bb05e)
- [access.redhat.com](https://access.redhat.com/security/cve/CVE-2025-15379)
- [RHBZ#2452949](https://bugzilla.redhat.com/show_bug.cgi?id=2452949)
- [security.access.redhat.com](https://security.access.redhat.com/data/csaf/v2/vex/2025/cve-2025-15379.json)
- [github.com](https://github.com/mlflow/mlflow/commit/a22ce7157f646bdce4c95106fc38ccc9ca289205)

---
Source page: https://erroneo.us/security/cve/CVE-2025-15379/ · Security Digest: https://erroneo.us/security/ · More: https://erroneo.us/llms.txt