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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.

PUBLISHED Reserved 2025-12-30 | Published 2026-03-30 | Updated 2026-03-31 | Assigner @huntr_ai




CRITICAL: 10.0CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H

Problem types

CWE-77 Improper Neutralization of Special Elements used in a Command ('Command Injection')

Product status

Any version before 3.8.2
affected

References

huntr.com/bounties/dc9c1c20-7879-4050-87df-4d095fe5ca75

github.com/...ommit/361b6f620adf98385c6721e384fb5ef9a30bb05e

cve.org (CVE-2025-15379)

nvd.nist.gov (CVE-2025-15379)

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