org.apache.spark CVEs · KEV listed

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Protected by Waratek 1 100.0% Rule in development 0 0.0% Mitigation candidate 0 0.0% No exploit published 0 0.0% Outside Waratek scope 0 0.0% Not applicable 0 0.0% Withdrawn CVE 0 0.0%

Critical 0 0.0% High 1 100.0% Medium 0 0.0% Low 0 0.0% None 0 0.0% Unknown 0 0.0%

blocked by ARMR today 1 100.0% partly blocked 0 0.0% not blocked 0 0.0% not established 0 0.0% unrecorded 0 0.0%

Exploited 1 100.0% Working exploit published 0 0.0% Proof of concept only 0 0.0% Forecast only 0 0.0% No public exploit 0 0.0%

split by StatusSeverityProtectionExploit maturity peak 1 / month

Jul 221 Protected by Waratek1 High1 blocked by ARMR today1 Exploited1

Jul 22

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CVE	Severity	Published▾	Status	Exploitation	Description
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.

CVE

Severity

Published▾

Status

Exploitation

Description

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.