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CVE
•added 2018/07/12 1:00 p.m.•120 views

CVE-2018-1334

Apache Spark up to version 2.3.0 (affected: 1.0.0–2.1.2, 2.2.0–2.2.1, 2.3.0) is vulnerable to an impersonation flaw when using PySpark or SparkR that lets a different local user connect to a Spark application and impersonate the Spark user. The issue is confirmed across multiple sources (e.g., SU...

4.7CVSS4.7AI score0.00509EPSS
SaveExploits0References2Affected Software1
Mend
Mend
•added 2018/07/12 1:00 p.m.•5 views

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...

5.7CVSS0.00509EPSS
SaveExploits0References6
Rapid7 Vulnerability Database (full)
Rapid7 Vulnerability Database (full)
•added 2018/07/12 12:00 a.m.•6 views

CVE-2018-1334: Exposure of Sensitive Information to an Unauthorized Actor

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...

4.7CVSS5.6AI score0.00509EPSS
SaveExploits0References2
Positive Technologies
Positive Technologies
•added 2018/07/12 12:00 a.m.•5 views

PT-2018-11764

Name of the Vulnerable Software and Affected Versions Apache Spark versions 1.0.0 through 2.1.2 Apache Spark versions 2.2.0 through 2.2.1 Apache Spark version 2.3.0 Description The issue allows a different local user to connect to the Spark application and impersonate the user running the...

6CVSS0.00509EPSS
SaveExploits0References9
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