CVSS: 9.8EPSS: 3%CPEs: 2EXPL: 1CVE-2020-9480
https://notcve.org/view.php?id=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). En Apache Spark versión 2.4.5 y versiones anteriores, el maestro de un administrador de recursos independiente puede ser configurado para requerir autenticación (spark.authenticate) por medio de un secreto compartido. • https://github.com/XiaoShaYu617/CVE-2020-9480 https://lists.apache.org/thread.html/r03ad9fe7c07d6039fba9f2152d345274473cb0af3d8a4794a6645f4b%40%3Cuser.spark.apache.org%3E https://lists.apache.org/thread.html/ra0e62a18ad080c4ce6df5e0202a27eaada75222761efc3f7238b5a3b%40%3Ccommits.doris.apache.org%3E https://lists.apache.org/thread.html/rb3956440747e41940d552d377d50b144b60085e7ff727adb0e575d8d%40%3Ccommits.submarine.apache.org%3E https://lists.apache.org/thread.html/ree9e87aae81852330290a478692e36ea6db47a52a694545c7d66e3e2%40%3Cdev.spark.apache.org%3E https://spark.apache.org&#x • CWE-306: Missing Authentication for Critical Function •
CVSS: 7.5EPSS: 0%CPEs: 5EXPL: 0CVE-2019-10099
https://notcve.org/view.php?id=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 anterior a versión 2.3.3, en ciertas situaciones, Spark escribiría los datos de usuario en el disco local sin cifrar, incluso si spark.io.encryption.enabled=true. Esto incluye los bloques almacenados en caché que son traídos al disco (controlados por spark.maxRemoteBlockSizeFetchToMem); en SparkR, usando parallelize; en Pyspark, usando broadcast y parallelize; y el uso de udfs de python. • https://lists.apache.org/thread.html/c2a39c207421797f82823a8aff488dcd332d9544038307bf69a2ba9e%40%3Cuser.spark.apache.org%3E https://lists.apache.org/thread.html/ra216b7b0dd82a2c12c2df9d6095e689eb3f3d28164e6b6587da69fae%40%3Ccommits.spark.apache.org%3E https://lists.apache.org/thread.html/rabe1d47e2bf8b8f6d9f3068c8d2679731d57fa73b3a7ed1fa82406d2%40%3Cissues.spark.apache.org%3E • CWE-312: Cleartext Storage of Sensitive Information •
CVSS: 5.5EPSS: 0%CPEs: 5EXPL: 0CVE-2018-11760
https://notcve.org/view.php?id=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. Al utilizar PySpark, es posible que un usuario local diferente se conecte a la aplicación de Spark y suplante al usuario que ejecuta la aplicación de Spark. Afecta a las versiones 1.x, 2.0.x, 2.1.x, 2.2.0 a 2.2.2 y desde la 2.3.0 hasta la 2.3.1. • http://www.securityfocus.com/bid/106786 https://lists.apache.org/thread.html/6d015e56b3a3da968f86e0b6acc69f17ecc16b499389e12d8255bf6e%40%3Ccommits.spark.apache.org%3E https://lists.apache.org/thread.html/a86ee93d07b6f61b82b61a28049aed311f5cc9420d26cc95f1a9de7b%40%3Cuser.spark.apache.org%3E •
CVSS: 7.5EPSS: 0%CPEs: 2EXPL: 0CVE-2018-11804
https://notcve.org/view.php?id=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, only developers building Spark from source code. • http://www.securityfocus.com/bid/105756 https://lists.apache.org/thread.html/2b11aa4201e36f2ec8f728e722fe33758410f07784379cbefd0bda9d%40%3Cdev.spark.apache.org%3E https://spark.apache.org/security.html#CVE-2018-11804 •
CVSS: 4.9EPSS: 97%CPEs: 1EXPL: 2CVE-2018-11770
https://notcve.org/view.php?id=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 without authenticating, but not launch executors, using the REST API. This REST API is also used by Mesos, when set up to run in cluster mode (i.e., when also running MesosClusterDispatcher), for job submission. • https://github.com/ivanitlearning/CVE-2018-11770 http://www.securityfocus.com/bid/105097 https://lists.apache.org/thread.html/bd8e51314041451a2acd720e9223fc1c15a263ccacb396a75b1fc485%40%3Cdev.spark.apache.org%3E https://spark.apache.org/security.html#CVE-2018-11770 https://www.jianshu.com/p/a080cb323832 https://github.com/vulhub/vulhub/tree/master/spark/unacc • CWE-287: Improper Authentication •