Apache Airflow 安全漏洞

Apache Airflow is a set of open source platforms with the ability to create, manage and monitor workflows from the US Apache Apache Foundation. The platform is characterized by scalability and dynamic monitoring. Apache Airflow suffers from a security vulnerability that stems from the ability of...

Remote Code Execution (RCE)

apacheairflow is vulnerable to remote code execution. The vulnerability is due to insufficient validation in the /api/v2/dagReports API endpoint, which allows an attacker with API access to trigger DAG code execution in the context of the API server when DAG files are present in the deployment...

BIT-AIRFLOW-2025-62402 Apache Airflow: Airflow 3 API: /api/v2/dagReports executes DAG Python in API

API users via /api/v2/dagReports could perform Dag code execution in the context of the api-server if the api-server was deployed in the environment where Dag files were available...

BIT-AIRFLOW-2025-54941 Apache Airflow: Command injection in "example_dag_decorator"

An example dag exampledagdecorator had non-validated parameter that allowed the UI user to redirect the example to a malicious server and execute code on worker. This however required that the example dags are enabled in production not default or the example dag code copied to build your own...

CVE-2025-54941

An example dag exampledagdecorator had non-validated parameter that allowed the UI user to redirect the example to a malicious server and execute code on worker. This however required that the example dags are enabled in production not default or the example dag code copied to build your own...

CVE-2025-62402

API users via /api/v2/dagReports could perform Dag code execution in the context of the api-server if the api-server was deployed in the environment where Dag files were available...

GHSA-V3C9-J6H9-66V4 Apache Airflow has a command injection vulnerability in "example_dag_decorator"

An example dag exampledagdecorator had non-validated parameter that allowed the UI user to redirect the example to a malicious server and execute code on worker. This however required that the example dags are enabled in production not default or the example dag code copied to build your own...

Execution with Unnecessary Privileges

Overview Affected versions of this package are vulnerable to Execution with Unnecessary Privileges via the /api/v2/dagReports endpoint. An attacker can execute arbitrary code in the context of the API server by submitting malicious DAG code through the API. Note: This is only exploitable if the A...

GHSA-273C-4G26-4JPM Apache Airflow `/api/v2/dagReports` executes DAG Python in API

API users via /api/v2/dagReports could perform Dag code execution in the context of the api-server if the api-server was deployed in the environment where Dag files were available...

Apache Airflow `/api/v2/dagReports` executes DAG Python in API

API users via /api/v2/dagReports could perform Dag code execution in the context of the api-server if the api-server was deployed in the environment where Dag files were available...

Command Injection

Overview Affected versions of this package are vulnerable to Command Injection via the exampledagdecorator function. An attacker can execute arbitrary commands on the worker by supplying a crafted parameter through the UI. Note: This is only exploitable if example DAGs are enabled in production o...

Apache Airflow has a command injection vulnerability in "example_dag_decorator"

An example dag exampledagdecorator had non-validated parameter that allowed the UI user to redirect the example to a malicious server and execute code on worker. This however required that the example dags are enabled in production not default or the example dag code copied to build your own...

CVE-2025-54941

An example dag exampledagdecorator had non-validated parameter that allowed the UI user to redirect the example to a malicious server and execute code on worker. This however required that the example dags are enabled in production not default or the example dag code copied to build your own...

CVE-2025-54941 Apache Airflow: Command injection in "example_dag_decorator"

An example dag exampledagdecorator had non-validated parameter that allowed the UI user to redirect the example to a malicious server and execute code on worker. This however required that the example dags are enabled in production not default or the example dag code copied to build your own...

CVE-2025-54941 Apache Airflow: Command injection in "example_dag_decorator"

An example dag exampledagdecorator had non-validated parameter that allowed the UI user to redirect the example to a malicious server and execute code on worker. This however required that the example dags are enabled in production not default or the example dag code copied to build your own...

CVE-2025-54941

The CVE-2025-54941 issue affects Apache Airflow, specifically the example_dag_decorator parameter handling. A non-validated parameter in the example DAG allowed a UI user to redirect to a malicious server and execute code on a worker, but exploitation requires that example DAGs are enabled in pro...

CVE-2025-54941 Apache Airflow: Command injection in "example_dag_decorator"

An example dag exampledagdecorator had non-validated parameter that allowed the UI user to redirect the example to a malicious server and execute code on worker. This however required that the example dags are enabled in production not default or the example dag code copied to build your own...

CVE-2025-62402

API users via /api/v2/dagReports could perform Dag code execution in the context of the api-server if the api-server was deployed in the environment where Dag files were available...

CVE-2025-62402 Apache Airflow: Airflow 3 API: /api/v2/dagReports executes DAG Python in API

API users via /api/v2/dagReports could perform Dag code execution in the context of the api-server if the api-server was deployed in the environment where Dag files were available...

CVE-2025-62402 Apache Airflow: Airflow 3 API: /api/v2/dagReports executes DAG Python in API

API users via /api/v2/dagReports could perform Dag code execution in the context of the api-server if the api-server was deployed in the environment where Dag files were available...