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

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

Secure your software supply chain by verifying that all open source dependencies used in your projects contain no disclosed vulnerabilities. Learn more about Dependency Scanning →