Apache Software Foundation Apache Airflow vulnerabilities
152 vulnerabilities
Known vulnerabilities in Apache Software Foundation Apache Airflow, newest first, with CVSS severity, EPSS, KEV listings, ransomware use and the affected versions.
CVE-2018-20245apache software foundationapache airflow+2
EPSS score1.02%
The LDAP auth backend (airflow.contrib.auth.backends.ldap_auth) prior to Apache Airflow 1.10.1 was misconfigured and contained improper checking of exceptions which disabled server certificate checking.CVE-2018-20244apache software foundationapache airflow+2EPSS score1.96%
In Apache Airflow before 1.10.2, a malicious admin user could edit the state of objects in the Airflow metadata database to execute arbitrary javascript on certain page views.CVE-2021-26559apache software foundationapache airflow+2EPSS score2.80%
Improper Access Control on Configurations Endpoint for the Stable API of Apache Airflow allows users with Viewer or User role to get Airflow Configurations including sensitive information even when `[webserver] expose_config` is set to `False` in `airflow.cfg`. This allowed a privilege escalation attack. This issue affects Apache Airflow 2.0.0.CVE-2021-26697apache software foundationapache airflow+2EPSS score4.55%
The lineage endpoint of the deprecated Experimental API was not protected by authentication in Airflow 2.0.0. This allowed unauthenticated users to hit that endpoint. This is low-severity issue as the attacker needs to be aware of certain parameters to pass to that endpoint and even after can just get some metadata about a DAG and a Task. This issue affects Apache Airflow 2.0.0.CVE-2021-38540apache software foundationapache airflow+2EPSS score80.94%
The variable import endpoint was not protected by authentication in Airflow >=2.0.0, <2.1.3. This allowed unauthenticated users to hit that endpoint to add/modify Airflow variables used in DAGs, potentially resulting in a denial of service, information disclosure or remote code execution. This issue affects Apache Airflow >=2.0.0, <2.1.3.CVE-2021-45230apache software foundationapache airflow+2EPSS score1.71%
In Apache Airflow prior to 2.2.0. This CVE applies to a specific case where a User who has "can_create" permissions on DAG Runs can create Dag Runs for dags that they don't have "edit" permissions for.CVE-2021-45229apache software foundationapache airflow+2EPSS score2.60%
It was discovered that the "Trigger DAG with config" screen was susceptible to XSS attacks via the `origin` query argument. This issue affects Apache Airflow versions 2.2.3 and below.CVE-2021-28359apache software foundationapache airflow+2EPSS score14.39%
The "origin" parameter passed to some of the endpoints like '/trigger' was vulnerable to XSS exploit. This issue affects Apache Airflow versions <1.10.15 in 1.x series and affects 2.0.0 and 2.0.1 and 2.x series. This is the same as CVE-2020-13944 & CVE-2020-17515 but the implemented fix did not fix the issue completely. Update to Airflow 1.10.15 or 2.0.2. Please also update your Python version to the latest available PATCH releases of the installed MINOR versions, example update to Python 3.6.13 if you are on Python 3.6. (Those contain the fix for CVE-2021-23336 https://nvd.nist.gov/vuln/detail/CVE-2021-23336).CVE-2021-35936apache software foundationapache airflow+2EPSS score5.45%
If remote logging is not used, the worker (in the case of CeleryExecutor) or the scheduler (in the case of LocalExecutor) runs a Flask logging server and is listening on a specific port and also binds on 0.0.0.0 by default. This logging server had no authentication and allows reading log files of DAG jobs. This issue affects Apache Airflow < 2.1.2.CVE-2025-54941apache software foundationapache airflow+2EPSS score0.49%
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-2025-54831apache software foundationapache airflow+2EPSS score0.94%
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-2025-54550apache software foundationapache airflow+4EPSS score0.58%
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-2025-65995apache software foundationapache airflow+4EPSS score0.81%
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-2025-62503apache software foundationapache airflow+2EPSS score0.43%
User with CREATE and no UPDATE privilege for Pools, Connections, Variables could update existing records via bulk create API with overwrite action.CVE-2025-62402apache software foundationapache airflow+2EPSS score0.52%
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-2025-68675apache software foundationapache airflow+7EPSS score1.88%
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 issueCVE-2025-68438apache software foundationapache airflow+5EPSS score0.62%
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 issueCVE-2025-66388apache software foundationapache airflow+2EPSS score0.48%
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-2025-66236apache software foundationapache airflow+4EPSS score0.44%
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-2025-27555apache software foundationapache airflow+4EPSS score0.37%
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