{"action":"Upgrade pyspark to 2.1.3 or later.","affected":[{"fixed":"2.1.3","introduced":"0"},{"fixed":"2.2.2","introduced":"2.2.0"}],"component":"pyspark","cve_ids":["CVE-2018-1334"],"ecosystem":"PyPI","epss":0.00509,"exploited":false,"fixed_versions":["2.2.2","2.1.3"],"ghsa_id":"GHSA-6mqq-8r44-vmjc","id":"tcs_01M5KG7WC3934SNJNDAS1JJATC","modified_at":"2026-06-10T17:01:41.861758514Z","published_at":"2018-07-12T13:29:00Z","references":["https://osv.dev/vulnerability/PYSEC-2018-25","https://spark.apache.org/security.html#CVE-2018-1334","https://lists.apache.org/thread.html/4d6d210e319a501b740293daaeeeadb51927111fb8261a3e4cd60060@%3Cdev.spark.apache.org%3E","https://github.com/advisories/GHSA-6mqq-8r44-vmjc"],"severity":{"label":"unknown"},"sources":[{"source":"osv","source_id":"PYSEC-2018-25","url":"https://osv.dev/vulnerability/PYSEC-2018-25"}],"summary":"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 t"}