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Vulnerability · Published Mar 30, 2026 · Assigned by @huntr_ai

CVE-2025-15379Command Injection in mlflow/mlflow

Critical 9.0

In plain English

A critical-severity command injection in mlflow/mlflow from mlflow. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 2.4% (higher than 84% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)9.0Critical
Exploit odds (30 days)2.4%top 15.9% of all CVEs
Exploited in the wildNo reportsCISA SSVC: poc
Attack toolingNoneno public tooling known

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.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPImlflow3.8.1GHSA-r23q-823p-vmf7
PyPImlflow3.8.1PYSEC-2026-423

Affected products (as reported)

VendorProductVersions
mlflow mlflow/mlflow unspecified – before 3.8.2

Weakness: CWE-77, CWE-78 · Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:H

References