CVE-2025-14287
HIGH
7,5
Source: [email protected]
Attack Vector: network
Attack Complexity: high
Privileges Required: none
User Interaction: required
Scope: unchanged
Confidentiality: high
Integrity: high
Availability: high
Description
AI Translation Available
A command injection vulnerability exists in mlflow/mlflow versions before v3.7.0, specifically in the `mlflow/sagemaker/__init__.py` file at lines 161-167. The vulnerability arises from the direct interpolation of user-supplied container image names into shell commands without proper sanitization, which are then executed using `os.system()`. This allows attackers to execute arbitrary commands by supplying malicious input through the `--container` parameter of the CLI. The issue affects environments where MLflow is used, including development setups, CI/CD pipelines, and cloud deployments.
EPSS (Exploit Prediction Scoring System)
Trend Analysis
EPSS (Exploit Prediction Scoring System)
Prevede la probabilità di sfruttamento basata su intelligence sulle minacce e sulle caratteristiche della vulnerabilità.
EPSS Score
0,0007
Percentile
0,2th
Updated
EPSS Score Trend (Last 3 Days)
94
Improper Control of Generation of Code ('Code Injection')
DraftCommon Consequences
Security Scopes Affected:
Access Control
Integrity
Confidentiality
Availability
Non-Repudiation
Potential Impacts:
Bypass Protection Mechanism
Gain Privileges Or Assume Identity
Execute Unauthorized Code Or Commands
Hide Activities
Applicable Platforms
Languages:
Interpreted
Technologies:
AI/ML
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