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

Weakness

The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.

Affected Software

Potential Mitigations

• Make fields transient to protect them from deserialization.
• An attempt to serialize and then deserialize a class containing transient fields will result in NULLs where the transient data should be. This is an excellent way to prevent time, environment-based, or sensitive variables from being carried over and used improperly.

Related Attack Patterns

• https://cwe.mitre.org/data/definitions/586.html

References

• https://github.com/apache/airflow/pull/33233
• https://lists.apache.org/thread/fzy95b1d6zv31j5wrx3znhzcscck2o24
• https://github.com/apache/airflow/pull/33233
• https://lists.apache.org/thread/fzy95b1d6zv31j5wrx3znhzcscck2o24