9 results · Feed
-
High 8.8
Apache Spark: Spark History Server Code Execution Vulnerability
This issue affects Apache Spark: before 3.5.7 and 4.0.1. Users are recommended to upgrade to version 3.5.7 or 4.0.1 and above, which fixes the issue. Summary Apache Spark 3.5.4 and earlier versions contain a code execution vulnerability in the Spark History W…
-
Medium 5.4
Apache Spark XSS vulnerability in log viewer UI Javascript
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 log…
-
Critical 9.8
Remote Code Execution in spark-core
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, h…
-
High 7.5
Improper Input Validation in Apache Spark
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 f…
-
Medium 4.2
org.apache.spark:spark-core_2.10 and org.apache.spark:spark-core_2.11 Improper Authentication vulnerability
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 aut…
-
Medium 4.7
Exposure of Sensitive Information to an Unauthorized Actor in Apache Spark
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.
-
Medium 5.4CVE-2018-8024 Scanner template
Exposure of Sensitive Information to an Unauthorized Actor in Apache Spark via crafted URL
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 e…
-
High 7.8
Apache Spark Deserialization of Untrusted Data vulnerability
In Apache Spark 1.6.0 until 2.1.1, the launcher API performs unsafe deserialization of data received by its socket. This makes applications launched programmatically using the launcher API potentially vulnerable to arbitrary code execution by an attacker with…
-
Medium 6.1
Moderate severity vulnerability that affects org.apache.spark:spark-core_2.10 and org.apache.spark:spark-core_2.11
In Apache Spark before 2.2.0, it is possible for an attacker to take advantage of a user's trust in the server to trick them into visiting a link that points to a shared Spark cluster and submits data including MHTML to the Spark master, or history server. Th…