Total
144 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2026-24098 | 1 Apache | 1 Airflow | 2026-06-17 | N/A | 6.5 MEDIUM |
| 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-2026-22922 | 1 Apache | 1 Airflow | 2026-06-17 | N/A | 6.5 MEDIUM |
| 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. | |||||
| CVE-2025-68675 | 1 Apache | 1 Airflow | 2026-06-17 | N/A | 7.5 HIGH |
| In Apache Airflow versions before 3.1.6, and 2.11.1 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 for Airflow 3, and 2.11.1 or later for Airflow 2 which fixes this issue | |||||
| CVE-2025-68438 | 1 Apache | 1 Airflow | 2026-06-17 | N/A | 7.5 HIGH |
| 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 | |||||
| CVE-2025-66388 | 1 Apache | 1 Airflow | 2026-06-17 | N/A | 6.5 MEDIUM |
| 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. | |||||
| CVE-2025-66236 | 1 Apache | 1 Airflow | 2026-06-17 | N/A | 7.5 HIGH |
| Before Airflow 3.2.0, it was unclear that secure Airflow deployments require the Deployment Manager to take appropriate actions and pay attention to security details and security model of Airflow. Some assumptions the Deployment Manager could make were not clear or explicit enough, even though Airflow's intentions and security model of Airflow did not suggest different assumptions. The overall security model [1], workload isolation [2], and JWT authentication details [3] are now described in more detail. Users concerned with role isolation and following the Airflow security model of Airflow are advised to upgrade to Airflow 3.2, where several security improvements have been implemented. They should also read and follow the relevant documents to make sure that their deployment is secure enough. It also clarifies that the Deployment Manager is ultimately responsible for securing your Airflow deployment. This had also been communicated via Airflow 3.2.0 Blog announcement [4]. [1] Security Model: https://airflow.apache.org/docs/apache-airflow/stable/security/jwt_token_authentication.html [2] Workload isolation: https://airflow.apache.org/docs/apache-airflow/stable/security/workload.html [3] JWT Token authentication: https://airflow.apache.org/docs/apache-airflow/stable/security/jwt_token_authentication.html [4] Airflow 3.2.0 Blog announcement: https://airflow.apache.org/blog/airflow-3.2.0/ Users are recommended to upgrade to version 3.2.0, which fixes this issue. | |||||
| CVE-2025-65995 | 1 Apache | 1 Airflow | 2026-06-17 | N/A | 6.5 MEDIUM |
| When a DAG failed during parsing, Airflow’s error-reporting in the UI could include the full kwargs passed to the operators. If those kwargs contained sensitive values (such as secrets), they might be exposed in the UI tracebacks to authenticated users who had permission to view that DAG. The issue has been fixed in Airflow 3.1.4 and 2.11.1, and users are strongly advised to upgrade to prevent potential disclosure of sensitive information. | |||||
| CVE-2025-62503 | 1 Apache | 1 Airflow | 2026-06-17 | N/A | 4.6 MEDIUM |
| User with CREATE and no UPDATE privilege for Pools, Connections, Variables could update existing records via bulk create API with overwrite action. | |||||
| CVE-2025-62402 | 1 Apache | 1 Airflow | 2026-06-17 | N/A | 5.4 MEDIUM |
| 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-2025-57735 | 1 Apache | 1 Airflow | 2026-06-17 | N/A | 9.1 CRITICAL |
| When user logged out, the JWT token the user had authtenticated with was not invalidated, which could lead to reuse of that token in case it was intercepted. In Airflow 3.2 we implemented the mechanism that implements token invalidation at logout. Users who are concerned about the logout scenario and possibility of intercepting the tokens, should upgrade to Airflow 3.2+ Users are recommended to upgrade to version 3.2.0, which fixes this issue. | |||||
| CVE-2025-54941 | 1 Apache | 1 Airflow | 2026-06-17 | N/A | 4.6 MEDIUM |
| 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. | |||||
| CVE-2025-54831 | 1 Apache | 1 Airflow | 2026-06-17 | N/A | 6.5 MEDIUM |
| 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. | |||||
| CVE-2025-54550 | 1 Apache | 1 Airflow | 2026-06-17 | N/A | 8.1 HIGH |
| The example example_xcom that was included in airflow documentation implemented unsafe pattern of reading value from xcom in the way that could be exploited to allow UI user who had access to modify XComs to perform arbitrary execution of code on the worker. Since the UI users are already highly trusted, this is a Low severity vulnerability. It does not affect Airflow release - example_dags are not supposed to be enabled in production environment, however users following the example could replicate the bad pattern. Documentation of Airflow 3.2.0 contains version of the example with improved resiliance for that case. Users who followed that pattern are advised to adjust their implementations accordingly. | |||||
| CVE-2025-27555 | 1 Apache | 1 Airflow | 2026-06-17 | N/A | 6.5 MEDIUM |
| Airflow versions before 2.11.1 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 connection parameters 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 2.11.1 or a later version, which addresses this issue. Users who previously used the CLI to set connections should manually delete entries with those connection sensitive values from the log table. This is similar but not the same issue as CVE-2024-50378 | |||||
| CVE-2024-56373 | 1 Apache | 1 Airflow | 2026-06-17 | N/A | 8.4 HIGH |
| DAG Author (who already has quite a lot of permissions) could manipulate database of Airflow 2 in the way to execute arbitrary code in the web-server context, which they should normally not be able to do, leading to potentially remote code execution in the context of web-server (server-side) as a result of a user viewing historical task information. The functionality responsible for that (log template history) has been disabled by default in 2.11.1 and users should upgrade to Airflow 3 if they want to continue to use log template history. They can also manually modify historical log file names if they want to see historical logs that were generated before the last log template change. | |||||
| CVE-2024-50378 | 1 Apache | 1 Airflow | 2026-06-17 | N/A | 4.9 MEDIUM |
| 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. | |||||
| CVE-2024-45784 | 1 Apache | 1 Airflow | 2026-06-17 | N/A | 7.5 HIGH |
| 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. | |||||
| CVE-2024-45498 | 1 Apache | 1 Airflow | 2026-06-17 | N/A | 8.8 HIGH |
| Example DAG: example_inlet_event_extra.py shipped with Apache Airflow version 2.10.0 has a vulnerability that allows an authenticated attacker with only DAG trigger permission to execute arbitrary commands. If you used that example as the base of your DAGs - please review if you have not copied the dangerous example; see https://github.com/apache/airflow/pull/41873 for more information. We recommend against exposing the example DAGs in your deployment. If you must expose the example DAGs, upgrade Airflow to version 2.10.1 or later. | |||||
| CVE-2024-45034 | 1 Apache | 1 Airflow | 2026-06-17 | N/A | 8.8 HIGH |
| Apache Airflow versions before 2.10.1 have a vulnerability that allows DAG authors to add local settings to the DAG folder and get it executed by the scheduler, where the scheduler is not supposed to execute code submitted by the DAG author. Users are advised to upgrade to version 2.10.1 or later, which has fixed the vulnerability. | |||||
| CVE-2024-42447 | 1 Apache | 2 Airflow, Apache-airflow-providers-fab | 2026-06-17 | N/A | 9.8 CRITICAL |
| Insufficient Session Expiration vulnerability in Apache Airflow Providers FAB. This issue affects Apache Airflow Providers FAB: 1.2.1 (when used with Apache Airflow 2.9.3) and FAB 1.2.0 for all Airflow versions. The FAB provider prevented the user from logging out. * FAB provider 1.2.1 only affected Airflow 2.9.3 (earlier and later versions of Airflow are not affected) * FAB provider 1.2.0 affected all versions of Airflow. Users who run Apache Airflow 2.9.3 are recommended to upgrade to Apache Airflow Providers FAB version 1.2.2 which fixes the issue. Users who run Any Apache Airflow version and have FAB provider 1.2.0 are recommended to upgrade to Apache Airflow Providers FAB version 1.2.2 which fixes the issue. Also upgrading Apache Airflow to latest version available is recommended. Note: Early version of Airflow reference container images of Airflow 2.9.3 and constraint files contained FAB provider 1.2.1 version, but this is fixed in updated versions of the images. Users are advised to pull the latest Airflow images or reinstall FAB provider according to the current constraints. | |||||