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Apache Spark CVEs with no public exploit

2 CVEs, 1 protected by Waratek

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Vendor apache✕Product spark✕
Overview 2 matches · 1 protected · 0 exploited · 0 CISA KEV · 0 public PoC
2matches 1protected50.0% 0exploited0.0% 0CISA KEV0.0% 0public PoC0.0%
Protected by Waratek 1 50.0% Rule in development 0 0.0% Mitigation candidate 0 0.0% No exploit published 1 50.0%
Critical 0 0.0% High 1 50.0% Medium 1 50.0% Low 0 0.0% None 0 0.0% Unknown 0 0.0%
blocked by ARMR today 1 50.0% partly blocked 0 0.0% not blocked 1 50.0% not established 0 0.0% unrecorded 0 0.0%
Exploited 0 0.0% Working exploit published 0 0.0% Proof of concept only 0 0.0% Forecast only 2 100.0% No public exploit 0 0.0%
split by peak 1 / quarter
No exploit published: 1Protected by Waratek: 1 Medium: 1High: 1 not blocked: 1blocked by ARMR today: 1 Forecast only: 2
Q1 211 No exploit published1 Medium1 not blocked1 Forecast only1 Q2 210 Q3 210 Q4 210 Q1 220 Q2 220 Q3 220 Q4 220 Q1 230 Q2 231 Protected by Waratek1 High1 blocked by ARMR today1 Forecast only1
Q1 21Q2 21Q3 21Q4 21Q1 22Q2 22Q3 22Q4 22Q1 23Q2 23
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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-2020-27223 Medium 2021-02-26 No exploit published Forecast only In Eclipse Jetty 9.4.6.v20170531 to 9.4.36.v20210114 (inclusive), 10.0.0, and 11.0.0 when Jetty handles a request containing multiple Accept headers with a large number of “quality” (i.e. q) parameters, the server may enter a denial of service (DoS) state due to high CPU usage processing those quality values, resulting in minutes of CPU time exhausted processing those quality values.