Authenticated code execution via malicious Spark server
Published Aug 28, 2023 · Updated Apr 23, 2025
Deserialization in Apache Airflow Spark Provider before 4.1.3 allows remote authenticated users to execute code through a malicious Spark server. The Spark hook accepts an attacker-controlled host URL, connects the Airflow node to that endpoint, and deserializes untrusted server data. Access requires an Airflow account authorized to configure Spark hooks; successful exploitation runs code with the Airflow process's access.
Summary
What happened
Deserialization in Apache Airflow Spark Provider before 4.1.3 allows remote authenticated users to execute code through a malicious Spark server. The Spark hook accepts an attacker-controlled host URL, connects the Airflow node to that endpoint, and deserializes untrusted server data. Access requires an Airflow account authorized to configure Spark hooks; successful exploitation runs code with the Airflow process's access.
The record
- CVE
- CVE-2023-40195
- Published
- Aug 28, 2023
- Updated
- Apr 23, 2025
- Vendor
- The Apache Software Foundation
- Product
- apache-airflow-providers-apache-spark
- Classifications
- CWE-502, CWE-829, T1190
- Attack vector
- network
- Privileges
- authenticated
Timeline
How it unfolded
- Aug 28, 2023CVE publishedPublication date reported by the CVE source.
- Apr 23, 2025Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=0 <4.1.3
What conditions does exploitation require?
What is affected?
Published CVSS scores
CVSS describes severity. EPSS estimates exploitation probability.
Attacks
What attackers are doing with it
Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.
Weakness, pattern, technique
Public exploit references
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Technologies
Your stack
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Your stack
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