Apache Airflow versions before 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

Apache Airflow versions 3.1.0 through 3.1.6 contain an authorization flaw that can allow an authenticated user with custom permissions limited to task access to view task logs without having task log access. Users are recommended to upgrade to Apache Airflow 3.1.7 or later, which resolves this issue.

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.

A vulnerability in Apache Airflow allowed authenticated UI users to view secret values in rendered templates due to secrets not being properly redacted, potentially exposing secrets to users without the appropriate authorization. Users are recommended to upgrade to version 3.1.4, which fixes this issue.

In Apache Airflow versions before 3.1.6, when rendered template fields in a Dag exceed [core] max_templated_field_length, sensitive values could be exposed in cleartext in the Rendered Templates UI. This occurred because serialization of those fields used a secrets masker instance that did not include user-registered mask_secret() patterns, so secrets were not reliably masked before truncation and display. Users are recommended to upgrade to 3.1.6 or later, which fixes this issue

In Apache Airflow versions before 3.1.6, the proxies and proxy fields within a Connection may include proxy URLs containing embedded authentication information. These fields were not treated as sensitive by default and therefore were not automatically masked in log output. As a result, when such connections are rendered or printed to logs, proxy credentials embedded in these fields could be exposed. Users are recommended to upgrade to 3.1.6 or later, which fixes this issue

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 similar dag. If you used the `example_dag_decorator` please review it and apply the changes implemented in Airflow 3.0.5 accordingly.

Apache Airflow 3 introduced a change to the handling of sensitive information in Connections. The intent was to restrict access to sensitive connection fields to Connection Editing Users, effectively applying a "write-only" model for sensitive values. In Airflow 3.0.3, this model was unintentionally violated: sensitive connection information could be viewed by users with READ permissions through both the API and the UI. This behavior also bypassed the `AIRFLOW__CORE__HIDE_SENSITIVE_VAR_CONN_FIELDS` configuration option. This issue does not affect Airflow 2.x, where exposing sensitive information to connection editors was the intended and documented behavior. Users of Airflow 3.0.3 are advised to upgrade Airflow to >=3.0.4.

Apache Airflow versions before 2.10.3 contain a vulnerability that could expose sensitive configuration variables in task logs. This vulnerability allows DAG authors to unintentionally or intentionally log sensitive configuration variables. Unauthorized users could access these logs, potentially exposing critical data that could be exploited to compromise the security of the Airflow deployment. In version 2.10.3, secrets are now masked in task logs to prevent sensitive configuration variables from being exposed in the logging output. Users should upgrade to Airflow 2.10.3 or the latest version to eliminate this vulnerability. If you suspect that DAG authors could have logged the secret values to the logs and that your logs are not additionally protected, it is also recommended that you update those secrets.

Airflow versions before 2.10.3 have a vulnerability that allows authenticated users with audit log access to see sensitive values in audit logs which they should not see. When sensitive variables were set via airflow CLI, values of those variables appeared in the audit log and were stored unencrypted in the Airflow database. While this risk is limited to users with audit log access, it is recommended to upgrade to Airflow 2.10.3 or a later version, which addresses this issue. Users who previously used the CLI to set secret variables should manually delete entries with those variables from the log table.