apache spark CVE-2022-33891 is a vulnerability in Apache Spark
Published on July 18, 2022

The Apache Spark UI offers the possibility to enable ACLs via the configuration option spark.acls.enable. With an authentication filter, this checks whether a user has access permissions to view or modify the application. If ACLs are enabled, a code path in HttpSecurityFilter can allow someone to perform impersonation by providing an arbitrary user name. A malicious user might then be able to reach a permission check function that will ultimately build a Unix shell command based on their input, and execute it. This will result in arbitrary shell command execution as the user Spark is currently running as. This 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.

NVD

Known Exploited Vulnerability

This Apache Spark Command Injection Vulnerability is part of CISA's list of Known Exploited Vulnerabilities. Apache Spark contains a command injection vulnerability via Spark User Interface (UI) when Access Control Lists (ACLs) are enabled.

The following remediation steps are recommended / required by March 28, 2023: Apply updates per vendor instructions.

Vulnerability Analysis

CVE-2022-33891 can be exploited with network access, and requires small amount of user privileges. This vulnerability is considered to have a low attack complexity. It has an exploitability score of 2.8 out of four. The potential impact of an exploit of this vulnerability is considered to be very high.

What is a Shell injection Vulnerability?

The software constructs all or part of an OS command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended OS command when it is sent to a downstream component.

CVE-2022-33891 has been classified to as a Shell injection vulnerability or weakness.


Products Associated with CVE-2022-33891

You can be notified by stack.watch whenever vulnerabilities like CVE-2022-33891 are published in these products:

Apache Spark
 

What versions of Spark are vulnerable to CVE-2022-33891?