Improper Privilege Management Affecting org.apache.spark:spark-core_2.12 package, versions [,3.3.3)
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Test your applications- Snyk ID SNYK-JAVA-ORGAPACHESPARK-5425123
- published 17 Apr 2023
- disclosed 17 Apr 2023
- credit Hideyuki Furue, Yi Wu
Introduced: 17 Apr 2023
CVE-2023-22946 Open this link in a new tabHow to fix?
Upgrade org.apache.spark:spark-core_2.12 to version 3.3.3 or higher.
Overview
org.apache.spark:spark-core_2.12 is an unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, pandas API on Spark for pandas workloads, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing.
Affected versions of this package are vulnerable to Improper Privilege Management when applications using spark-submit can specify a proxy-user to run with limiting privileges., which allows the application to execute code with the privileges of the submitting user. Exploiting this vulnerability is possible by providing malicious configuration-related classes on the classpath.
Note: This vulnerability affects architectures relying on proxy-user, for example, those using Apache Livy to manage submitted applications.
Mitigation
After upgrading to the fixed version - ensure that spark.submit.proxyUser.allowCustomClasspathInClusterMode is set to its default of "false" and is not overridden by submitted applications.