MLflow Command Injection vulnerability

CVE-2025-15379 → View on GitHub ↗ View on CVE.org ↗ View on NVD ↗

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 3.8.1.

Basic information

Type
reviewed
Severity
critical
Advisory on GitHub
Open advisory ↗
Repository advisory
—
Source code
Browse source ↗
Published (advisory)
2026-03-30 09:31:28 UTC
Updated
2026-04-01 19:08:35 UTC
GitHub reviewed
2026-04-01 00:08:33 UTC
NVD published
2026-03-30

EPSS Score

Score Percentile
0.24% 46.73%

CVSS Scores

Base score Version Severity Vector
10.0 3.0 —
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H Click to expand
Attack vector (AV:N)
Could be attacked over the internet or any normal routed network—not just someone sitting at the machine.
Attack complexity (AC:L)
Once they can reach the bug, pulling it off is straightforward—no weird race conditions or rare setup.
Privileges required (PR:N)
No account or special rights needed—anonymous or random user is enough.
User interaction (UI:N)
Nobody has to click “OK” or open a trap file; it can work without a victim helping.
Scope (S:C)
Breaking this can reach past the original component and bite other resources—bigger blast radius.
Confidentiality (C:H)
Serious risk that confidential data gets exposed in a big way.
Integrity (I:H)
They could widely tamper with or forge data—trust in the data is badly hurt.
Availability (A:H)
Could take the service down hard or make it unusable for people who depend on it.

Identifiers

Type Value
GHSA GHSA-r23q-823p-vmf7 ↗
CVE CVE-2025-15379 ↗

CWEs

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

Credits

  • drhreddy (analyst)

Affected packages (1)

Vulnerable version ranges and first patched releases as published by GitHub.

Ecosystem Package Vulnerable range First patched Vulnerable functions
pip mlflow < 3.8.1 3.8.1 —

References

cvelogic Threat Intelligence