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apache spark vulnerabilities and exploits
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7.2
CVSSv2
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
1.9
CVSSv2
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
NA
CVE-2022-31777
A stored cross-site scripting (XSS) vulnerability in Apache Spark 3.2.1 and previous versions, and 3.3.0, allows remote malicious users 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 ren...
Apache Spark 3.3.0
Apache Spark
4.9
CVSSv2
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 -
NA
CVE-2023-40272
Apache Airflow Spark Provider, versions prior to 4.1.3, is affected by a vulnerability that allows an malicious user to pass in malicious parameters when establishing a connection giving an opportunity to read files on the Airflow server. It is recommended to upgrade to a version...
Apache Apache-airflow-providers-apache-spark
NA
CVE-2023-28710
Improper Input Validation vulnerability in Apache Software Foundation Apache Airflow Spark Provider.This issue affects Apache Airflow Spark Provider: prior to 4.0.1.
Apache Apache-airflow-providers-apache-spark
2.1
CVSSv2
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.
Apache Spark
4.9
CVSSv2
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
5
CVSSv2
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
NA
CVE-2023-22946
In Apache Spark versions before 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 o...
Apache Spark
CVSSv2
CVSSv2
CVSSv3
VMScore
Recommendations:
CVE-2024-3201
CVE-2024-4779
CVE-2024-35090
CVE-2024-5084
hard-coded
CVE-2024-4985
HTML injection
CVE-2024-33655
local file inclusion
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