CVE-2025-15379 Command Injection in mlflow/mlflow

Critical 10.0 Published Updated

Attackers can execute arbitrary commands by providing malicious model artifacts when deploying with local environment manager.

Exploited in the wild
Not known
Login needed
Not needed
Attackable
Over the internet
Victim action needed
Not needed
Fix
Available

What is CVE-2025-15379?

CVE-2025-15379 is a critical command injection vulnerability in Lfprojects Mlflow, published on 30 Mar 2026. An attacker can exploit it over the internet without logging in, with no action from the victim.

Official 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.

Weakness: CWE-78, CWE-77

Which versions are affected by CVE-2025-15379?

4 open source packages ship an affected version, including mlflow. It affects 1 product.

PackageAffectedFixed in
mlflow BitnamiFrom 3.8.03.8.1
mlflow PyPIAll versions3.8.1
mlflow PyPIAll versions3.8.1
mlflow PyPIAll versions3.8.1

Products include Lfprojects Mlflow.

How do I fix CVE-2025-15379?

Upgrade mlflow to 3.8.1 or later.

Upgrade, and pass arguments to programs as a list instead of through a shell. More about Command injection.

Is CVE-2025-15379 being exploited?

It is not confirmed as exploited in the wild, but public exploit code for CVE-2025-15379 exists.

All Lfprojects Mlflow vulnerabilities

Sources

Also known as BIT-mlflow-2025-15379, GHSA-r23q-823p-vmf7, PYSEC-2026-423.

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