Product:

Spark

(Apache)
Repositories

Unknown:

This might be proprietary software.

#Vulnerabilities 13
Date Id Summary Products Score Patch Annotated
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
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
2020-01-29 CVE-2019-20445 HttpObjectDecoder.java in Netty before 4.1.44 allows a Content-Length header to be accompanied by a second Content-Length header, or by a Transfer-Encoding header. Spark, Ubuntu_linux, Debian_linux, Fedora, Netty, Jboss_amq_clients, Jboss_enterprise_application_platform 9.1
2019-08-07 CVE-2019-10099 Prior to Spark 2.3.3, in certain situations Spark would write user data to local disk unencrypted, even if spark.io.encryption.enabled=true. This includes cached blocks that are fetched to disk (controlled by spark.maxRemoteBlockSizeFetchToMem); in SparkR, using parallelize; in Pyspark, using broadcast and parallelize; and use of python udfs. Spark 7.5
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 9.8
2018-11-19 CVE-2018-17190 In all versions of Apache Spark, its standalone resource manager accepts code to execute on a 'master' host, that then runs that code on 'worker' hosts. The master itself does not, by design, execute user code. A specially-crafted request to the master can, however, cause the master to execute code too. Note that this does not affect standalone clusters with authentication enabled. While the master host typically has less outbound access to other resources than a worker, the execution of... Spark 9.8
2019-02-04 CVE-2018-11760 When using PySpark , it's possible for a different local user to connect to the Spark application and impersonate the user running the Spark application. This affects versions 1.x, 2.0.x, 2.1.x, 2.2.0 to 2.2.2, and 2.3.0 to 2.3.1. Spark 5.5
2018-07-12 CVE-2018-8024 In Apache Spark 2.1.0 to 2.1.2, 2.2.0 to 2.2.1, and 2.3.0, it's possible for a malicious user to construct a URL pointing to a Spark cluster's UI's job and stage info pages, and if a user can be tricked into accessing the URL, can be used to cause script to execute and expose information from the user's view of the Spark UI. While some browsers like recent versions of Chrome and Safari are able to block this type of attack, current versions of Firefox (and possibly others) do not. Spark, Firefox 5.4
2018-07-12 CVE-2018-1334 In Apache Spark 1.0.0 to 2.1.2, 2.2.0 to 2.2.1, and 2.3.0, when using PySpark or SparkR, it's possible for a different local user to connect to the Spark application and impersonate the user running the Spark application. Spark 4.7
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