apache-airflow@2.7.3rc1 vulnerabilities

apache-airflow is a platform to programmatically author, schedule, and monitor workflows.

Affected versions of this package are vulnerable to Uninitialized Memory Exposure which allows authenticated users with audit log access to see sensitive unencrypted stored values set via the airflow CLI.

Note: Users who are using the CLI to set secret variables are advised to manually delete entries with those variables from the log table.

Upgrade apache-airflow to version 2.10.3 or higher.

apache-airflow is a platform to programmatically author, schedule, and monitor workflows.

Affected versions of this package are vulnerable to Execution with Unnecessary Privileges due to the ability of DAG authors to add local settings to the DAG folder which then gets executed by the scheduler. An attacker can escalate privileges and execute arbitrary code by manipulating the DAG configuration files. This vulnerability is can be exploited by an attacker with DAG author permissions.

Upgrade apache-airflow to version 2.10.1 or higher.

apache-airflow is a platform to programmatically author, schedule, and monitor workflows.

Affected versions of this package are vulnerable to Improper Encoding or Escaping of Output through the example_inlet_event_extra.py DAG configuration. An attacker with DAG trigger permissions can execute arbitrary commands by exploiting this vulnerability.

Upgrade apache-airflow to version 2.10.1 or higher.

apache-airflow is a platform to programmatically author, schedule, and monitor workflows.

Affected versions of this package are vulnerable to Cross-site Scripting (XSS) through the provider documentation link due to improper user input sanitization in the get_doc_url_for_provider function. By enticing a user to click on a maliciously crafted provider link, an attacker can execute scripts in the context of the user's browser session.

Upgrade apache-airflow to version 2.10.0 or higher.

apache-airflow is a platform to programmatically author, schedule, and monitor workflows.

Affected versions of this package are vulnerable to Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection') that allows an authenticated attacker to inject a malicious link into the provider installation process.

Upgrade apache-airflow to version 2.9.3 or higher.

apache-airflow is a platform to programmatically author, schedule, and monitor workflows.

Affected versions of this package are vulnerable to Improper Control of Generation of Code ('Code Injection') which allows an authenticated DAG attacker to craft a doc_md parameter and execute arbitrary code in the scheduler context

Upgrade apache-airflow to version 2.9.3 or higher.

apache-airflow is a platform to programmatically author, schedule, and monitor workflows.

Affected versions of this package are vulnerable to Use of Web Browser Cache Containing Sensitive Information by not returning the Cache-Control header for dynamic content. This allows sensitive data to be written to the local browser cache.

Upgrade apache-airflow to version 2.9.2 or higher.

apache-airflow is a platform to programmatically author, schedule, and monitor workflows.

Affected versions of this package are vulnerable to Improper Certificate Validation for FTP_TLS connections, which are created without setting the proper context using ssl.create_default_context().

Upgrade apache-airflow to version 2.9.0b1 or higher.

apache-airflow is a platform to programmatically author, schedule, and monitor workflows.

Affected versions of this package are vulnerable to Information Exposure via the configuration UI page. An attacker can see sensitive provider configuration by setting webserver.expose_config to non-sensitive-only, even though the celery provider is the only community provider currently that has sensitive configurations.

Note:

This is only exploitable if webserver.expose_config configuration is set to non-sensitive-only.

Upgrade apache-airflow to version 2.9.0 or higher.

apache-airflow is a platform to programmatically author, schedule, and monitor workflows.

Affected versions of this package are vulnerable to Incorrect Default Permissions that allow Ops and Viewers users to view all information in audit logs, including DAG names and usernames they are not permitted to view.

Upgrade apache-airflow to version 2.8.2rc1 or higher.

apache-airflow is a platform to programmatically author, schedule, and monitor workflows.

Affected versions of this package are vulnerable to Exposure of Resource to Wrong Sphere due to improper permission checks in the API and UI components. An attacker can view DAG code and import errors for DAGs they are not authorized to access by exploiting this vulnerability.

Upgrade apache-airflow to version 2.8.2 or higher.

apache-airflow is a platform to programmatically author, schedule, and monitor workflows.

Affected versions of this package are vulnerable to Deserialization of Untrusted Data due to improper validation of input during the deserialization process of XCom data. An attacker can execute arbitrary code by submitting crafted input that bypasses the protection of the enable_xcom_pickling=False configuration setting, leading to poisoned data after deserialization.

Upgrade apache-airflow to version 2.8.1 or higher.

apache-airflow is a platform to programmatically author, schedule, and monitor workflows.

Affected versions of this package are vulnerable to Missing Authorization via the permission verification process. An attacker can read the source code of a DAG without having the proper permissions by exploiting this vulnerability.

Upgrade apache-airflow to version 2.8.1 or higher.

apache-airflow is a platform to programmatically author, schedule, and monitor workflows.

Affected versions of this package are vulnerable to Cross-site Request Forgery (CSRF) that allows triggering a DAG in a GET request, by convincing a user who is authenticated to the Airflow UI to visit a malicious website in the same browser.

Upgrade apache-airflow to version 2.8.0 or higher.

apache-airflow is a platform to programmatically author, schedule, and monitor workflows.

Affected versions of this package are vulnerable to Improper Access Control allowing an authenticated user with limited access to some DAGs, to craft a request that could give the user write access to various DAG resources that the user had no access to.

NOTE: This was thought to be fixed in version 2.7.2, with the publication of CVE-2023-42792, but it was missed.

Upgrade apache-airflow to version 2.8.0b1 or higher.

apache-airflow is a platform to programmatically author, schedule, and monitor workflows.

Affected versions of this package are vulnerable to Cross-site Scripting (XSS) via the parameter description field of a DAG. A DAG author can embed JavaScript, which can be executed on the client side when a user views the DAG details in the browser. This could lead to misleading information being displayed to the user.

Upgrade apache-airflow to version 2.8.0b1 or higher.

apache-airflow is a platform to programmatically author, schedule, and monitor workflows.

Affected versions of this package are vulnerable to Improper Access Control via the varimport endpoint. A user who lacks the variable edit permission can edit a variable.

Upgrade apache-airflow to version 2.8.0b1 or higher.

apache-airflow is a platform to programmatically author, schedule, and monitor workflows.

Affected versions of this package are vulnerable to Incorrect Authorization in forms.py that allows authenticated users with DAG-view permission to modify some DAG run detail values (such as configuration parameters, start date, etc.) when submitting notes.

This vulnerability is the same one described by CVE-2023-40611, which has now been fixed.

Upgrade apache-airflow to version 2.7.3 or higher.

apache-airflow is a platform to programmatically author, schedule, and monitor workflows.

Affected versions of this package are vulnerable to Improper Access Control in handling task instances. A user can read information about task instances in other DAGs.

Upgrade apache-airflow to version 2.7.3 or higher.