CVE-2022-33891 Scanner

Apache Spark is a widely used open-source distributed computing system that is designed to handle large-scale data processing. It can process data quickly across clusters with its in-memory processing capabilities and supports multiple programming languages, including Java, Python, and Scala. Apache Spark is commonly used for analytics, machine learning, and data processing tasks. The platform is popular because it’s fast, user-friendly, and can handle complex data processing tasks.

CVE-2022-33891 is a vulnerability that has been detected in Apache Spark. This vulnerability has been caused by enabling ACLs via the configuration option spark.acls.enable. When enabled, a malicious user can perform impersonation by providing an arbitrary user name, which passes through the authentication filter to determine whether the user has permissions to view or modify the application. A flaw in the HttpSecurityFilter mechanism allows a malicious user to execute arbitrary shell commands as the user that Spark is currently running as. This vulnerability affects Apache Spark versions 3.0.3 and earlier, versions 3.1.1 to 3.1.2, and versions 3.2.0 to 3.2.1.

Exploiting this vulnerability can lead to arbitrary shell command execution, and the attacker can gain full control of the Apache Spark framework. The attacker can leverage this control to extract sensitive information, disrupt services, and in some cases, maliciously alter the system settings to their advantage. A successful exploit of this vulnerability can also result in damage to the reputation of the organization, loss of revenue or intellectual property, and damage to customer trust.

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REFERENCES

• http://packetstormsecurity.com/files/168309/Apache-Spark-Unauthenticated-Command-Injection.html
• https://lists.apache.org/thread/p847l3kopoo5bjtmxrcwk21xp6tjxqlc