GHSA-6QR9-G2XW-CW92 Dagu affected by unauthenticated RCE via inline DAG spec in default configuration

Summary Dagu's default configuration ships with authentication disabled. The POST /api/v2/dag-runs endpoint accepts an inline YAML spec and executes its shell commands immediately with no credentials required — any dagu instance reachable over the network is fully compromised by default. Details...

Command Injection

Apache Airflow is vulnerable to Command Injection. The vulnerability is due to a non-validated parameter in the exampledagdecorator example DAG, which allows an attacker to redirect execution to a malicious server and execute arbitrary code on a worker when example DAGs are enabled...

BIT-AIRFLOW-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...

Incorrect Authorization

Overview Affected versions of this package are vulnerable to Incorrect Authorization in the Import Errors view. An authenticated attacker can access sensitive information, such as file paths, code snippets, or stack traces related to DAGs they are not authorized to access. Remediation Upgrade...

Apache Airflow UI Exposes DAG Import Errors to Unauthorized Authenticated Users

Impact Exposure of Sensitive Information: An information disclosure vulnerability exists in the Apache Airflow UI that allows authenticated users to view Import Errors for DAGs they are not authorized to access. In affected versions, the Import Errors view does not correctly filter errors based o...

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 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...

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...

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...

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...