Arbitrary Code via Spark Provider (Airflow <4.1.3) Deserialization
CVE-2023-40195 Published on August 28, 2023
Apache Airflow Spark Provider Deserialization Vulnerability RCE
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
Vulnerability Analysis
CVE-2023-40195 can be exploited with network access, and requires small amount of user privileges. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to be very high.
Weakness Types
What is a Marshaling, Unmarshaling Vulnerability?
The application deserializes untrusted data without sufficiently verifying that the resulting data will be valid.
CVE-2023-40195 has been classified to as a Marshaling, Unmarshaling vulnerability or weakness.
Inclusion of Functionality from Untrusted Control Sphere
The software imports, requires, or includes executable functionality (such as a library) from a source that is outside of the intended control sphere.
Products Associated with CVE-2023-40195
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Affected Versions
Apache Software Foundation Apache Airflow Spark Provider:- Before 4.1.3 is affected.
Exploit Probability
EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.