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Apache Spark UI vulnerable to Command Injection

High severity GitHub Reviewed Published May 2, 2023 to the GitHub Advisory Database • Updated Nov 12, 2023

Package

maven org.apache.spark:spark-parent_2.12 (Maven)

Affected versions

>= 3.1.1, < 3.2.2

Patched versions

3.2.2
pip pyspark (pip)
>= 3.1.1, < 3.2.2
3.2.2

Description

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 issue was disclosed earlier as CVE-2022-33891, but incorrectly claimed version 3.1.3 (which has since gone EOL) would not be affected.

NOTE: This vulnerability only affects products that are no longer supported by the maintainer.

Users are recommended to upgrade to a supported version of Apache Spark, such as version 3.4.0.

References

Published by the National Vulnerability Database May 2, 2023
Published to the GitHub Advisory Database May 2, 2023
Reviewed May 2, 2023
Last updated Nov 12, 2023

Severity

High
8.8
/ 10

CVSS base metrics

Attack vector
Network
Attack complexity
Low
Privileges required
Low
User interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Weaknesses

CVE ID

CVE-2023-32007

GHSA ID

GHSA-59hw-j9g6-mfg3

Source code

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