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This project will be discontinued after December 13, 2021. [more]
Product:
Spark
(Apache)| Repositories |
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| #Vulnerabilities | 19 |
| Date | Id | Summary | Products | Score | Patch | Annotated |
|---|---|---|---|---|---|---|
| 2020-06-23 | CVE-2020-9480 | In Apache Spark 2.4.5 and earlier, a standalone resource manager's master may be configured to require authentication (spark.authenticate) via a shared secret. When enabled, however, a specially-crafted RPC to the master can succeed in starting an application's resources on the Spark cluster, even without the shared key. This can be leveraged to execute shell commands on the host machine. This does not affect Spark clusters using other resource managers (YARN, Mesos, etc). | Spark, Business_intelligence | 9.8 | ||
| 2021-02-26 | CVE-2020-27223 | 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. | Nifi, Solr, Spark, Debian_linux, Jetty, E\-Series_santricity_os_controller, E\-Series_santricity_web_services, Element_plug\-In_for_vcenter_server, Hci, Hci_management_node, Management_services_for_element_software, Snap_creator_framework, Snapcenter, Snapmanager, Solidfire, Rest_data_services | 5.3 | ||
| 2022-07-18 | CVE-2022-33891 | 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... | Spark | 8.8 | ||
| 2023-05-02 | CVE-2023-32007 | ** 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... | Spark | 8.8 | ||
| 2023-04-17 | CVE-2023-22946 | In Apache Spark versions prior to 3.4.0, applications using spark-submit can specify a 'proxy-user' to run as, limiting privileges. The application can execute code with the privileges of the submitting user, however, by providing malicious configuration-related classes on the classpath. This affects architectures relying on proxy-user, for example those using Apache Livy to manage submitted applications. Update to Apache Spark 3.4.0 or later, and ensure that... | Spark | 9.9 | ||
| 2019-11-18 | CVE-2019-10172 | A flaw was found in org.codehaus.jackson:jackson-mapper-asl:1.9.x libraries. XML external entity vulnerabilities similar CVE-2016-3720 also affects codehaus jackson-mapper-asl libraries but in different classes. | Spark, Debian_linux, Jackson\-Mapper\-Asl, Jboss_enterprise_application_platform, Jboss_fuse | 7.5 | ||
| 2018-08-13 | CVE-2018-11770 | From version 1.3.0 onward, Apache Spark's standalone master exposes a REST API for job submission, in addition to the submission mechanism used by spark-submit. In standalone, the config property 'spark.authenticate.secret' establishes a shared secret for authenticating requests to submit jobs via spark-submit. However, the REST API does not use this or any other authentication mechanism, and this is not adequately documented. In this case, a user would be able to run a driver program... | Spark | 4.2 | ||
| 2022-03-10 | CVE-2021-38296 | Apache Spark supports end-to-end encryption of RPC connections via "spark.authenticate" and "spark.network.crypto.enabled". In versions 3.1.2 and earlier, it uses a bespoke mutual authentication protocol that allows for full encryption key recovery. After an initial interactive attack, this would allow someone to decrypt plaintext traffic offline. Note that this does not affect security mechanisms controlled by "spark.authenticate.enableSaslEncryption", "spark.io.encryption.enabled",... | Spark, Financial_services_crime_and_compliance_management_studio | 7.5 | ||
| 2018-10-24 | CVE-2018-11804 | Spark's Apache Maven-based build includes a convenience script, 'build/mvn', that downloads and runs a zinc server to speed up compilation. It has been included in release branches since 1.3.x, up to and including master. This server will accept connections from external hosts by default. A specially-crafted request to the zinc server could cause it to reveal information in files readable to the developer account running the build. Note that this issue does not affect end users of Spark,... | Spark | 7.5 | ||
| 2022-11-01 | CVE-2022-31777 | A stored cross-site scripting (XSS) vulnerability in Apache Spark 3.2.1 and earlier, and 3.3.0, allows remote attackers to execute arbitrary JavaScript in the web browser of a user, by including a malicious payload into the logs which would be returned in logs rendered in the UI. | Spark | 5.4 |