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apache spark vulnerabilities and exploits
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9.8
CVSSv3
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, ho...
Apache Spark
7.5
CVSSv3
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 ex...
Apache Spark
4.2
CVSSv3
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 authentic...
Apache Spark
1 Github repository
4.7
CVSSv3
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.
Apache Spark
Apache Spark 2.3.0
5.4
CVSSv3
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...
Apache Spark
Apache Spark 2.3.0
Mozilla Firefox -
7.8
CVSSv3
CVE-2017-12612
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 access to any user a...
Apache Spark 2.0.2
Apache Spark 2.1.1
Apache Spark 1.6.1
Apache Spark 1.6.2
Apache Spark 1.6.3
Apache Spark 2.0.0
Apache Spark 1.6.0
Apache Spark 2.0.1
Apache Spark 2.1.0
6.1
CVSSv3
CVE-2017-7678
In Apache Spark prior to 2.2.0, it is possible for an malicious user 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. This data,...
Apache Spark
CVSSv3
CVSSv2
CVSSv3
VMScore
Recommendations:
CVE-2023-49223
CVE-2024-0044
information disclosure
CVE-2024-35753
HTML injection
CVE-2024-21306
CVE-2024-35733
SQL injection
CVE-2024-35732
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