CVE-2026-0596

A command injection vulnerability exists in mlflow/mlflow when serving a model with enablemlserver=True. The modeluri is embedded directly into a shell command executed via bash -c without proper sanitization. If the modeluri contains shell metacharacters, such as $ or backticks, it allows for...

CVE-2025-15379

A flaw was found in MLflow. When deploying a model with envmanager=LOCAL, MLflow's model serving container initialization code, specifically the installmodeldependenciestoenv function, reads dependency specifications from the model artifact's pythonenv.yaml file. An attacker can supply a maliciou...

Command Injection

Overview Affected versions of this package are vulnerable to Command Injection when serving models with enablemlserver=True due to unsanitized input being embedded into a shell command. An attacker can execute arbitrary commands by supplying specially crafted model URIs containing shell...

Mlflow: Command Injection when serving models with enable_mlserver=True

A command injection vulnerability exists in Mlflow when serving a model with enablemlserver=True. The modeluri is embedded directly into a shell command executed via bash -c without proper sanitization. If the modeluri contains shell metacharacters, such as $ or backticks, it allows for command...

Command Injection

Overview mlflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. Affected versions of this package are vulnerable to Command Injection when serving models with enablemlserver=True due...

GHSA-RVHJ-8CHJ-8V3C Mlflow: Command Injection when serving models with enable_mlserver=True

A command injection vulnerability exists in Mlflow when serving a model with enablemlserver=True. The modeluri is embedded directly into a shell command executed via bash -c without proper sanitization. If the modeluri contains shell metacharacters, such as $ or backticks, it allows for command...

EUVD-2026-17415

A command injection vulnerability exists in mlflow/mlflow when serving a model with enablemlserver=True. The modeluri is embedded directly into a shell command executed via bash -c without proper sanitization. If the modeluri contains shell metacharacters, such as $ or backticks, it allows for...

CVE-2026-0596

A command injection vulnerability exists in mlflow/mlflow when serving a model with enablemlserver=True. The modeluri is embedded directly into a shell command executed via bash -c without proper sanitization. If the modeluri contains shell metacharacters, such as $ or backticks, it allows for...

CVE-2026-0596 Command Injection in mlflow/mlflow

A command injection vulnerability exists in mlflow/mlflow when serving a model with enablemlserver=True. The modeluri is embedded directly into a shell command executed via bash -c without proper sanitization. If the modeluri contains shell metacharacters, such as $ or backticks, it allows for...

CVE-2026-0596

A command injection vulnerability exists in mlflow/mlflow when serving a model with enablemlserver=True. The modeluri is embedded directly into a shell command executed via bash -c without proper sanitization. If the modeluri contains shell metacharacters, such as $ or backticks, it allows for...

CVE-2026-0596 Command Injection in mlflow/mlflow

A command injection vulnerability exists in mlflow/mlflow when serving a model with enablemlserver=True. The modeluri is embedded directly into a shell command executed via bash -c without proper sanitization. If the modeluri contains shell metacharacters, such as $ or backticks, it allows for...

CVE-2026-0596

The CWE/CVE describes a command-injection in mlflow/mlflow when serving a model with enable_mlserver=True. The vulnerability occurs because model_uri is embedded directly into a shell command executed via bash -c without sanitization, allowing shell metacharacters (e.g., $(), backticks) to enable...

PT-2026-29269

Name of the Vulnerable Software and Affected Versions mlflow/mlflow affected versions not specified Description A command injection issue exists in mlflow/mlflow when serving a model with enable mlserver=True. The model uri is directly incorporated into a shell command executed using bash -c...

MLflow 操作系统命令注入漏洞

MLFlow is an open-source platform that simplifies machine learning development. It includes features for tracking experiments, packaging code for reproducible executions, and sharing and deploying models. MLFlow has a vulnerability related to operating system command injection. This vulnerability...

CVE-2025-15381

A flaw was found in mlflow/mlflow. When the basic-auth application is enabled, tracing and assessment endpoints lack proper permission validation. This allows any authenticated user, even those without specific permissions on an experiment, to read sensitive trace information and create...

CVE-2025-15036

A flaw was found in mlflow. A path traversal vulnerability exists in the extractarchivetodir function, which is responsible for extracting archives. An attacker who can control the input tar.gz file can exploit this vulnerability due to insufficient validation of paths within the archive. This...

MLflow Command Injection vulnerability

A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the installmodeldependenciestoenv function. When deploying a model with envmanager=LOCAL, MLflow reads dependency specifications from the model artifact's pythonenv.yaml file and...

EUVD-2025-209121

A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the installmodeldependenciestoenv function. When deploying a model with envmanager=LOCAL, MLflow reads dependency specifications from the model artifact's pythonenv.yaml file and...

GHSA-R23Q-823P-VMF7 MLflow Command Injection vulnerability

A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the installmodeldependenciestoenv function. When deploying a model with envmanager=LOCAL, MLflow reads dependency specifications from the model artifact's pythonenv.yaml file and...

Arbitrary Command Injection

Overview Affected versions of this package are vulnerable to Arbitrary Command Injection in the installmodeldependenciestoenv function. An attacker can execute arbitrary commands by supplying a crafted model artifact containing malicious dependency specifications in the pythonenv.yaml file, which...