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

March 14, 2019 (updated October 21, 2024)

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.

References

  • github.com/advisories/GHSA-6mqq-8r44-vmjc
  • github.com/pypa/advisory-database/tree/main/vulns/pyspark/PYSEC-2018-25.yaml
  • lists.apache.org/thread.html/4d6d210e319a501b740293daaeeeadb51927111fb8261a3e4cd60060@%3Cdev.spark.apache.org%3E
  • nvd.nist.gov/vuln/detail/CVE-2018-1334
  • spark.apache.org/security.html

Code Behaviors & Features

Detect and mitigate CVE-2018-1334 with GitLab Dependency Scanning

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Affected versions

All versions before 2.1.3, all versions starting from 2.2.0 before 2.2.2

Fixed versions

  • 2.2.2
  • 2.1.3

Solution

Upgrade to versions 2.1.3, 2.2.2 or above.

Impact 4.7 MEDIUM

CVSS:3.0/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:H/A:N

Learn more about CVSS

Weakness

  • CWE-200: Exposure of Sensitive Information to an Unauthorized Actor

Source file

pypi/pyspark/CVE-2018-1334.yml

Spotted a mistake? Edit the file on GitLab.

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