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CVE-2025-15379

Command Injection in mlflow/mlflow

Published: Mar 30, 2026Updated: Apr 28, 2026 Sources: CVE List NVDCWE-77
NVD MITRE
9.8CVSSCRITICAL
EPSS Score
2.4%
Top 18.5%
CISA KEV
Not in KEV
Exploits
No Known Exploits
Remediation
Patch Available

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.

CVSS Vector Breakdown

AV:NAC:LPR:NUI:NS:UC:HI:HA:H
Exploitability
AV:NAttack Vector
Network
AC:LAttack Complexity
Low
PR:NPrivileges Required
None
UI:NUser Interaction
None
Scope
S:UScope
Unchanged
Impact
C:HConfidentiality
High
I:HIntegrity
High
A:HAvailability
High
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Weaknesses

CWE-77

Affected Products

mlflowlfprojects
On-premLibrary
AI / ML / notebook-mlops
mlflow/mlflowmlflow
LibraryLibrary
AI / ML / ml-framework
lfprojectsoss-projectAI / MLaka mlflow, valkey, model context protocol servers, mcp servers
mlflowoss-projectAI / MLaka mlflow

Attack Graph

Products CVE Techniques Tactics

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Exploitability

Official Patch Available

MITRE ATT&CK

1 technique
Execution
View detailed technique mapping

References

https://github.com/mlflow/mlflow/commit/361b6f620adf98385c6721e384fb5ef9a30bb05e
github.com
https://huntr.com/bounties/dc9c1c20-7879-4050-87df-4d095fe5ca75
huntr.com

Timeline

Published
Mar 30, 2026
Last Updated
Apr 28, 2026

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