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apache spark 2.3.0 vulnerabilities and exploits
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169
VMScore
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
438
VMScore
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-2022-40954
Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection') vulnerability in Apache Airflow Spark Provider, Apache Airflow allows an malicious user to read arbtrary files in the task execution context, without write access to DAG files. Th...
Apache Airflow
Apache Apache-airflow-providers-apache-spark
187
VMScore
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
VMScore
CVSSv2
CVSSv3
VMScore
Recommendations:
CVE-2024-23692
malicious code
XML injection
CVE-2024-28020
CVE-2024-35252
CVE-2024-5833
CVE-2024-30066
injection
CVE-2024-23282
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