GitHub Advisoryadvisory · PyPI

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

HIGH Published 2023-08-28 Modified 2024-09-06 Official page ↗
Aliases
CVE-2023-40195
Ecosystem
PyPI
Packages
apache-airflow-providers-apache-spark
Severity
High
CVSS vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Weaknesses
CWE-502
Reviewed
2023-08-30

Affected packages

• PyPI apache-airflow-providers-apache-spark: < 4.1.3 → fixed in 4.1.3

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

Related

Alias · CVE (1)

  • CVE-2023-40195 Deserialization of Untrusted Data, Inclusion of Functionality from Untrusted Control Sphere vulnerability in Apache Software Foundation… vulnerability

Weakness · CWE (1)

  • CWE-502 Deserialization of Untrusted Data weakness

References