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CVE-2023-32007

Apache Spark: Shell command injection via Spark UI

8.8 HighFix available

** UNSUPPORTED WHEN ASSIGNED ** 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.

Attack profile

How easy it is to exploit

Attack vector: Network
Complexity: Low
Privileges needed: Low
User interaction: None

What an attacker can affect

Confidentiality: High
Integrity: High
Availability: High

Exploit likelihood

76.0%Up 75.9 points since May 3, 2023

What each source reports

NVD Score used 8.8

** UNSUPPORTED WHEN ASSIGNED ** 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.

Record: CVE-2023-32007
CVSS 3.1: 8.8 HighCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Weakness: CWE-77
Updated: 2026-11-02

CVE List 8.8

Apache Spark: Shell command injection via Spark UI

** UNSUPPORTED WHEN ASSIGNED ** 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.

Record: CVE-2023-32007
CVSS 3.1: 8.8 HighCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Weakness: CWE-77
Updated: 2026-11-02

EUVDEUVD-2023-0220 8.8

** UNSUPPORTED WHEN ASSIGNED ** 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.

Record: EUVD-2023-0220
CVSS 3.1: 8.8 HighCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Updated: 2026-11-03

GitHub AdvisoriesGHSA-59hw-j9g6-mfg3 8.7

Apache Spark UI vulnerable to Command Injection

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.

Record: GHSA-59hw-j9g6-mfg3
CVSS 4.0: 8.7 HighCVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:L/SI:L/SA:N
CVSS 3.1: 8.8 HighCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Weakness: CWE-77
Updated: 2026-11-02

OSV 8.8

Apache Spark: Shell command injection via Spark UI

** UNSUPPORTED WHEN ASSIGNED ** 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.

Record: CVE-2023-32007
CVSS 3.1: 8.8 HighCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Weakness: CWE-77
Updated: 2026-11-02

OSVGHSA-59hw-j9g6-mfg3 8.7

Apache Spark UI vulnerable to Command Injection

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.

Record: GHSA-59hw-j9g6-mfg3
CVSS 4.0: 8.7 HighCVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:L/SI:L/SA:N
CVSS 3.1: 8.8 HighCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Weakness: CWE-77
Updated: 2026-11-02

OSVBIT-spark-2023-32007 No score

Apache Spark: Shell command injection via Spark UI

** UNSUPPORTED WHEN ASSIGNED ** 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.

Record: BIT-spark-2023-32007
Updated: 2026-11-02

OSVPYSEC-2023-72 No score

** UNSUPPORTED WHEN ASSIGNED ** 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.

Record: PYSEC-2023-72
Updated: 2026-11-02

Affected products

Affected packages

Affected packages
Package	Affected	Fixed
`org.apache.spark:spark-parent_2.12` Maven	3.1.1 up to 3.2.2	3.2.2
`pyspark` PyPI	3.1.1 up to 3.2.2	3.2.2
`spark` Bitnami	before 3.0.4, 3.1.1 up to 3.1.4, 3.2.0 up to 3.2.2	3.0.43.1.43.2.2
`org.apache.spark:spark-parent_2.12` Maven	3.1.1 up to 3.2.2, plus listed versions 3.1.23.1.33.2.03.2.1	3.2.2
`pyspark` PyPI	3.1.1 up to 3.2.2, plus listed versions 3.1.23.1.33.2.03.2.1	3.2.2
`pyspark` PyPI	before 3.2.2, plus listed versions 2.1.12.1.22.1.32.2.02.2.1 Show 25 moreShow less 2.2.22.2.32.3.02.3.12.3.22.3.32.3.42.4.02.4.12.4.22.4.32.4.42.4.52.4.62.4.72.4.83.0.03.0.13.0.23.0.33.1.13.1.23.1.33.2.03.2.1	3.2.2

History

History
Recorded	Changed	Sources
Nov 3, 2026	aliases, published	EUVD
Nov 2, 2026	first indexed	CVE List, GitHub Advisories, NVD, OSV

Dates are when Every CVE recorded each change. Upstream dates may differ.

In short

CVE-2023-32007 is a high vulnerability (CVSS 8.8) in Apache Spark, published May 2, 2023. No source lists public exploit code. EPSS puts the chance of exploitation in the next 30 days at 76.0%, the 99th percentile. Fixed in org.apache.spark:spark-parent_2.12 3.2.2.

References