Severity: Important Vendor: The Apache Software Foundation
Versions affected: All Spark 1.x, Spark 2.0.x, and Spark 2.1.x versions Spark 2.2.0 to 2.2.2 Spark 2.3.0 to 2.3.1 Description: When using PySpark , it's possible for a different local user to connect to the Spark application and impersonate the user running the Spark application. This affects versions 1.x, 2.0.x, 2.1.x, 2.2.0 to 2.2.2, and 2.3.0 to 2.3.1. Mitigation: 1.x, 2.0.x, 2.1.x, and 2.2.x users should upgrade to 2.2.3 or newer 2.3.x users should upgrade to 2.3.2 or newer Otherwise, affected users should avoid using PySpark in multi-user environments. Credit: This issue was reported by Luca Canali and Jose Carlos Luna Duran from CERN. References: https://spark.apache.org/security.html