Apache Airflow Spark Provider Deserialization Vulnerability RCE
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
AI Insight
LLM-synthesized narrative grounded in this CVE's description and references.
Affected packages
Versions sourced from the GitHub Security Advisory.
| Package | Affected versions | Patched versions |
|---|---|---|
apache-airflow-providers-apache-sparkPyPI | < 4.1.3 | 4.1.3 |
Affected products
2- Range: 0
Patches
Vulnerability mechanics
Generated on May 9, 2026. Inputs: CWE entries + fix-commit diffs from this CVE's patches. Citations validated against bundle.
References
6- github.com/apache/airflow/pull/33233ghsapatchWEB
- github.com/advisories/GHSA-8q28-pw9g-w82cghsaADVISORY
- lists.apache.org/thread/fzy95b1d6zv31j5wrx3znhzcscck2o24ghsavendor-advisoryWEB
- nvd.nist.gov/vuln/detail/CVE-2023-40195ghsaADVISORY
- github.com/apache/airflow/commit/6850b5c777fa515e110ad1daa85242209a8ec6c0ghsaWEB
- github.com/pypa/advisory-database/tree/main/vulns/apache-airflow-providers-apache-spark/PYSEC-2023-156.yamlghsaWEB
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