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Product spark-parent_2.12✕
Overview 2 matches · 1 exploited · 1 CISA KEV · 1 public PoC
Protected by Waratek 2 100.0% Rule in development 0 0.0% Mitigation candidate 0 0.0% No exploit published 0 0.0%
Critical 0 0.0% High 2 100.0% Medium 0 0.0% Low 0 0.0% None 0 0.0% Unknown 0 0.0%
blocked by ARMR today 2 100.0% partly blocked 0 0.0% not blocked 0 0.0% not established 0 0.0% unrecorded 0 0.0%
Exploited 1 50.0% Working exploit published 0 0.0% Proof of concept only 0 0.0% Forecast only 1 50.0% No public exploit 0 0.0%
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CVE Severity Published▾ Status Exploitation Description
CVE-2023-32007 High 2023-05-02 Protected by Waratek Forecast only ** 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.
CVE-2022-33891 High 2022-07-18 Protected by Waratek Exploited 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.