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. A previous version of this advisory incorrectly stated that version 3.1.3 was not vulnerable. Per [GHSA-59hw-j9g6-mfg3](https://github.com/advisories/GHSA-59hw-j9g6-mfg3), version 3.1.3 is vulnerable and vulnerable version ranges in this advisory have been changed to reflect the correct information.
Update org.apache.spark:spark-parent_2.12 to 3.2.2; pyspark to 3.1.3; pyspark to 3.2.2 if you use the affected versions. Test the change in a non-production environment first.
Local check
hol-guard supply-chain scanApache Spark UI can allow impersonation if ACLs enabled affects org.apache.spark:spark-parent_2.12 (maven), org.apache.spark:spark-parent_2.12 (maven), pyspark (pip), pyspark (pip). Severity is high. This vulnerability is known to be exploited in the wild. 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. A previous version of this advisory incorrectly stated that version 3.1.3 was not vulnerable. Per [GHSA-59hw-j9g6-mfg3](https://github.com/advisories/GHSA-59hw-j9g6-mfg3), version 3.1.3 is vulnerable and vulnerable version ranges in this advisory have been changed to reflect the correct information.
AI coding agents often install or upgrade packages automatically in maven and pip. A high vulnerability in a dependency can be pulled into a project through a normal install or update without a human reviewing the change, expanding the blast radius from a single package to every agent workspace that depends on it.
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. A previous version of this advisory incorrectly stated that version 3.1.3 was not vulnerable. Per [GHSA-59hw-j9g6-mfg3](https://github.com/advisories/GHSA-59hw-j9g6-mfg3), version 3.1.3 is vulnerable and vulnerable version ranges in this advisory have been changed to reflect the correct information.
Update org.apache.spark:spark-parent_2.12 to 3.2.2; pyspark to 3.1.3; pyspark to 3.2.2 if you use the affected versions. Test the change in a non-production environment first.
Local check
hol-guard supply-chain scanApache Spark UI can allow impersonation if ACLs enabled affects org.apache.spark:spark-parent_2.12 (maven), org.apache.spark:spark-parent_2.12 (maven), pyspark (pip), pyspark (pip). Severity is high. This vulnerability is known to be exploited in the wild. 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. A previous version of this advisory incorrectly stated that version 3.1.3 was not vulnerable. Per [GHSA-59hw-j9g6-mfg3](https://github.com/advisories/GHSA-59hw-j9g6-mfg3), version 3.1.3 is vulnerable and vulnerable version ranges in this advisory have been changed to reflect the correct information.
AI coding agents often install or upgrade packages automatically in maven and pip. A high vulnerability in a dependency can be pulled into a project through a normal install or update without a human reviewing the change, expanding the blast radius from a single package to every agent workspace that depends on it.
| Package | Affected range | Fixed version |
|---|---|---|
| org.apache.spark:spark-parent_2.12maven | <=3.0.3 | Not reported |
| org.apache.spark:spark-parent_2.12maven | >=3.1.1,<3.2.2 | 3.2.2 |
| pysparkpip | >=0,<3.1.3 | 3.1.3 |
| pysparkpip | >=3.2.0,<3.2.2 | 3.2.2 |
Fixed versions are reported by the source feed; confirm compatibility before updating.
Reported by GitHub Security Advisories (ghsa).
HOL Guard can help your team review package activity against supported protection paths.
Explore HOL Guard| Package | Affected range | Fixed version |
|---|---|---|
| org.apache.spark:spark-parent_2.12maven | <=3.0.3 | Not reported |
| org.apache.spark:spark-parent_2.12maven | >=3.1.1,<3.2.2 | 3.2.2 |
| pysparkpip | >=0,<3.1.3 | 3.1.3 |
| pysparkpip | >=3.2.0,<3.2.2 | 3.2.2 |
Fixed versions are reported by the source feed; confirm compatibility before updating.
Reported by GitHub Security Advisories (ghsa).
HOL Guard can help your team review package activity against supported protection paths.
Explore HOL Guard