MLflow up to 3.8.1 Model _install_model_dependencies_to_env command injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.0 | $0-$5k | 6.49- |
Summary
A vulnerability was found in MLflow up to 3.8.1. It has been rated as critical. The affected element is the function _install_model_dependencies_to_env of the component Model Handler. This manipulation causes command injection.
This vulnerability is handled as CVE-2025-15379. The attack can be initiated remotely. There is not any exploit available.
Upgrading the affected component is advised.
Details
A vulnerability classified as critical was found in MLflow up to 3.8.1. Affected by this vulnerability is the function _install_model_dependencies_to_env of the component Model Handler. The manipulation with an unknown input leads to a command injection vulnerability. The CWE definition for the vulnerability is CWE-77. The product constructs all or part of a command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended command when it is sent to a downstream component. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
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.
It is possible to read the advisory at huntr.com. This vulnerability is known as CVE-2025-15379 since 12/30/2025. The exploitation appears to be easy. The attack can be launched remotely. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1202 according to MITRE ATT&CK.
Upgrading to version 3.8.2 eliminates this vulnerability.
The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2025-209121). Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 8.1VulDB Meta Temp Score: 8.0
VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 10.0
CNA Vector (@huntr_ai): 🔒
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Command injectionCWE: CWE-77 / CWE-74 / CWE-707
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: MLflow 3.8.2
Timeline
12/30/2025 CVE reserved03/30/2026 Advisory disclosed
03/30/2026 VulDB entry created
03/30/2026 VulDB entry last update
Sources
Advisory: huntr.comStatus: Confirmed
CVE: CVE-2025-15379 (🔒)
GCVE (CVE): GCVE-0-2025-15379
GCVE (VulDB): GCVE-100-354151
EUVD: 🔒
Entry
Created: 03/30/2026 09:42Updated: 03/30/2026 12:05
Changes: 03/30/2026 09:42 (64), 03/30/2026 12:05 (1)
Complete: 🔍
Cache ID: 216:C2C:103
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