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CVE-2025-15379

Command Injection in mlflow/mlflow

Published: Mar 30, 2026Updated: Jul 15, 2026 Sources: CVE List NVDCWE-77
9.8CRITICAL
NVD MITRE
EPSS Score
2.0%
Top 21.2%
CISA KEV
Not in KEV
Exploits
No Known Exploits
Remediation
Patch Available
Self-Check
OpenVAS

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.

No summary for this CVE yet.

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-77CWE-78

Affected Products

lfprojects
oss-projectaka model context protocol servers, mcp servers, valkey, mlflow
mlflowOn-premLibrary
AI / ML / notebook-mlops
mlflow
oss-project
mlflow/mlflowLibraryLibrary
AI / ML / ml-framework

Exploitability

Official Patch Available
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Attack Graph

Products CVE Techniques Tactics

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MITRE ATT&CK

1 technique
Execution
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References

https://github.com/mlflow/mlflow/commit/361b6f620adf98385c6721e384fb5ef9a30bb05e
github.com
https://huntr.com/bounties/dc9c1c20-7879-4050-87df-4d095fe5ca75
huntr.com
https://access.redhat.com/security/cve/CVE-2025-15379
access.redhat.com
and 2 more references View all →

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