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GHSA-8q28-pw9g-w82c: Apache Airflow vulnerable arbitrary code execution via Spark server

Deserialization of Untrusted Data, Inclusion of Functionality from Untrusted Control Sphere vulnerability in Apache Software Foundation Apache Airflow Spark Provider.

When the Apache Spark provider is installed on an Airflow deployment, an Airflow user that is authorized to configure Spark hooks can effectively run arbitrary code on the Airflow node by pointing it at a malicious Spark server. Prior to version 4.1.3, this was not called out in the documentation explicitly, so it is possible that administrators provided authorizations to configure Spark hooks without taking this into account. We recommend administrators to review their configurations to make sure the authorization to configure Spark hooks is only provided to fully trusted users.

To view the warning in the docs please visit https://airflow.apache.org/docs/apache-airflow-providers-apache-spark/4.1.3/connections/spark.html

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  1. GitHub Advisory Database
  2. GitHub Reviewed
  3. CVE-2023-40195

Apache Airflow vulnerable arbitrary code execution via Spark server

Moderate severity GitHub Reviewed Published Aug 28, 2023 to the GitHub Advisory Database • Updated Aug 30, 2023

Vulnerability details Dependabot alerts 0

Package

pip apache-airflow-providers-apache-spark (pip)

Affected versions

< 4.1.3

Patched versions

None

Description

Deserialization of Untrusted Data, Inclusion of Functionality from Untrusted Control Sphere vulnerability in Apache Software Foundation Apache Airflow Spark Provider.

When the Apache Spark provider is installed on an Airflow deployment, an Airflow user that is authorized to configure Spark hooks can effectively run arbitrary code on the Airflow node by pointing it at a malicious Spark server. Prior to version 4.1.3, this was not called out in the documentation explicitly, so it is possible that administrators provided authorizations to configure Spark hooks without taking this into account. We recommend administrators to review their configurations to make sure the authorization to configure Spark hooks is only provided to fully trusted users.

To view the warning in the docs please visit https://airflow.apache.org/docs/apache-airflow-providers-apache-spark/4.1.3/connections/spark.html

References

  • https://nvd.nist.gov/vuln/detail/CVE-2023-40195
  • apache/airflow#33233
  • https://lists.apache.org/thread/fzy95b1d6zv31j5wrx3znhzcscck2o24
  • apache/airflow@6850b5c

Published to the GitHub Advisory Database

Aug 28, 2023

Last updated

Aug 30, 2023

Reviewed

Aug 30, 2023

Severity

Moderate

Weaknesses

CWE-502

CVE ID

CVE-2023-40195

GHSA ID

GHSA-8q28-pw9g-w82c

Source code

apache/airflow

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CVE-2023-40195

Deserialization of Untrusted Data, Inclusion of Functionality from Untrusted Control Sphere vulnerability in Apache Software Foundation Apache Airflow Spark Provider. When the Apache Spark provider is installed on an Airflow deployment, an Airflow user that is authorized to configure Spark hooks can effectively run arbitrary code on the Airflow node by pointing it at a malicious Spark server. Prior to version 4.1.3, this was not called out in the documentation explicitly, so it is possible that administrators provided authorizations to configure Spark hooks without taking this into account. We recommend administrators to review their configurations to make sure the authorization to configure Spark hooks is only provided to fully trusted users. To view the warning in the docs please visit  https://airflow.apache.org/docs/apache-airflow-providers-apache-spark/4.1.3/connections/spark.html