CVE-2026-24098

Apache Airflow versions 3.0.0 - 3.1.7, has vulnerability that allows authenticated UI users with permission to one or more specific Dags to view import errors generated by other Dags they did not have access to. Users are advised to upgrade to 3.1.7 or later, which resolves this issue...

PYSEC-2026-12

Apache Airflow versions 3.0.0 - 3.1.7, has vulnerability that allows authenticated UI users with permission to one or more specific Dags to view import errors generated by other Dags they did not have access to. Users are advised to upgrade to 3.1.7 or later, which resolves this issue...

CVE-2026-24098 Apache Airflow: Assigning single DAG permission leaked all DAGs Import Errors

Apache Airflow versions 3.0.0 - 3.1.7, has vulnerability that allows authenticated UI users with permission to one or more specific Dags to view import errors generated by other Dags they did not have access to. Users are advised to upgrade to 3.1.7 or later, which resolves this issue...

CVE-2026-24098 Apache Airflow: Assigning single DAG permission leaked all DAGs Import Errors

Apache Airflow versions 3.0.0 - 3.1.7, has vulnerability that allows authenticated UI users with permission to one or more specific Dags to view import errors generated by other Dags they did not have access to. Users are advised to upgrade to 3.1.7 or later, which resolves this issue...

CVE-2026-24098 Apache Airflow: Assigning single DAG permission leaked all DAGs Import Errors

Apache Airflow versions 3.0.0 - 3.1.7, has vulnerability that allows authenticated UI users with permission to one or more specific Dags to view import errors generated by other Dags they did not have access to. Users are advised to upgrade to 3.1.7 or later, which resolves this issue...

CVE-2026-24098

Apache Airflow versions 3.0.0 - 3.1.7 are vulnerable to an information disclosure flaw where authenticated UI users can view import errors for DAGs they are not authorized to access. The root cause is a failure to correctly filter errors based on granular DAG permissions, potentially exposing fil...

Evaluating and Enhancing the Vulnerability Reasoning Capabilities of Large Language Models

Large Language Models LLMs have demonstrated remarkable proficiency in vulnerability detection. However, a critical reliability gap persists: models frequently yield correct detection verdicts based on hallucinated logic or superficial patterns that deviate from the actual root cause. This...

The vulnerability of the pull_request_target function in the dag-factory library allows a violator to execute arbitrary code.

The vulnerability of the pullrequesttarget function in the dag-factory library is related to the lack of measures taken to neutralize special elements used in the team. Exploiting this vulnerability could allow a malicious actor to execute arbitrary code remotely...

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...

PT-2025-45612

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...

PT-2025-45611

An example dag example dag decorator 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-2025-54941

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...

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...

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...

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...