Exposure of Sensitive Information to an Unauthorized Actor in Apache Spark
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.
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describes (1)
Related CVEs.
| ID | severity | exploitable | ||
|---|---|---|---|---|
| CVE-2018-1334US | medium4.7 | — | ||
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 impersonat… | ||||
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references
External citations — patches, advisories, analysis.
- https://github.com/advisories/GHSA-6mqq-8r44-vmjcADVISORY
- https://github.com/pypa/advisory-database/tree/main/vulns/pyspark/PYSEC-2018-25.yamlWEB
- https://lists.apache.org/thread.html/4d6d210e319a501b740293daaeeeadb51927111fb8261a3e4cd60060@%3Cdev.spark.apache.org%3EWEB
- https://nvd.nist.gov/vuln/detail/CVE-2018-1334ADVISORY
- https://spark.apache.org/security.html#CVE-2018-1334WEB
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