{"id":"CVE-2018-1334","aliases":["EUVD-2018-0127","GHSA-6mqq-8r44-vmjc","PYSEC-2018-25"],"status":"published","title":"Exposure of Sensitive Information to an Unauthorized Actor in Apache Spark","description":"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.","severity":{"version":"3.0","score":4.7,"vector":"CVSS:3.0/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:H/A:N","level":"medium","assessor":"primary","from":"nvd"},"epss":{"day":"2026-11-07","score":0.00504,"percentile":0.43364,"model":"v2026.06.15"},"facts":{"in_kev":false,"known_exploited":false,"public_exploit":false,"fix_available":true},"cwes":["CWE-200"],"published":"2018-07-12T13:00:00Z","modified":"2026-10-24T10:30:48Z","fixes":[{"ecosystem":"Maven","package":"org.apache.spark:spark-core_2.10","fixed_in":["2.1.3","2.2.2"],"sources":["ghsa","osv"]},{"ecosystem":"Maven","package":"org.apache.spark:spark-core_2.11","fixed_in":["2.1.3","2.2.2","2.3.1"],"sources":["ghsa","osv"]},{"ecosystem":"PyPI","package":"pyspark","fixed_in":["2.2.2","2.1.3"],"sources":["ghsa","osv"]}],"affected":[{"source":"ghsa","ecosystem":"Maven","package":"org.apache.spark:spark-core_2.10","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"1.0.0"},{"fixed":"2.1.3"}]}]},{"source":"ghsa","ecosystem":"Maven","package":"org.apache.spark:spark-core_2.10","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.2.0"},{"fixed":"2.2.2"}]}]},{"source":"ghsa","ecosystem":"Maven","package":"org.apache.spark:spark-core_2.11","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"1.0.0"},{"fixed":"2.1.3"}]}]},{"source":"ghsa","ecosystem":"Maven","package":"org.apache.spark:spark-core_2.11","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.2.0"},{"fixed":"2.2.2"}]}]},{"source":"ghsa","ecosystem":"Maven","package":"org.apache.spark:spark-core_2.11","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.3.0"},{"last_affected":"2.3.0"},{"fixed":"2.3.1"}]}],"versions":["2.3.0"]},{"source":"ghsa","ecosystem":"PyPI","package":"pyspark","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.2.0"},{"fixed":"2.2.2"}]}]},{"source":"ghsa","ecosystem":"PyPI","package":"pyspark","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.1.3"}]}]},{"source":"osv","ecosystem":"Maven","package":"org.apache.spark:spark-core_2.10","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"1.0.0"},{"fixed":"2.1.3"}]}],"versions":["1.0.0","1.0.1","1.0.2","1.1.0","1.1.1","1.2.0","1.2.1","1.2.2","1.3.0","1.3.1","1.4.0","1.4.1","1.5.0","1.5.1","1.5.2","1.6.0","1.6.1","1.6.2","1.6.3","2.0.0","2.0.0-preview","2.0.1","2.0.2","2.1.0","2.1.1","2.1.2"]},{"source":"osv","ecosystem":"Maven","package":"org.apache.spark:spark-core_2.10","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.2.0"},{"fixed":"2.2.2"}]}],"versions":["2.2.0","2.2.1"]},{"source":"osv","ecosystem":"Maven","package":"org.apache.spark:spark-core_2.11","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"1.0.0"},{"fixed":"2.1.3"}]}],"versions":["1.2.0","1.2.1","1.2.2","1.3.0","1.3.1","1.4.0","1.4.1","1.5.0","1.5.1","1.5.2","1.6.0","1.6.1","1.6.2","1.6.3","2.0.0","2.0.0-preview","2.0.1","2.0.2","2.1.0","2.1.1","2.1.2"]},{"source":"osv","ecosystem":"Maven","package":"org.apache.spark:spark-core_2.11","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.2.0"},{"fixed":"2.2.2"}]}],"versions":["2.2.0","2.2.1"]},{"source":"osv","ecosystem":"Maven","package":"org.apache.spark:spark-core_2.11","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.3.0"},{"fixed":"2.3.1"}]}],"versions":["2.3.0"]},{"source":"osv","ecosystem":"PyPI","package":"pyspark","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.2.0"},{"fixed":"2.2.2"}]}],"versions":["2.2.0","2.2.1"]},{"source":"osv","ecosystem":"PyPI","package":"pyspark","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.1.3"}]}],"versions":["2.1.1","2.1.2"]},{"source":"osv","ecosystem":"PyPI","package":"pyspark","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.2.0"},{"fixed":"2.2.2"},{"introduced":"0"},{"fixed":"2.1.3"}]}],"versions":["2.1.1","2.1.2","2.2.0","2.2.1"]}],"products":[{"vendor":"apache","product":"spark"},{"vendor":"apache software foundation","product":"apache spark"}],"references":[{"url":"https://spark.apache.org/security.html#CVE-2018-1334","tags":["x_refsource_CONFIRM","x_transferred","Mitigation","Vendor Advisory","advisory","web"]},{"url":"https://lists.apache.org/thread.html/4d6d210e319a501b740293daaeeeadb51927111fb8261a3e4cd60060%40%3Cdev.spark.apache.org%3E","tags":["mailing-list","x_refsource_MLIST","x_transferred","web"]},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2018-1334","tags":["advisory"]},{"url":"https://github.com/advisories/GHSA-6mqq-8r44-vmjc","tags":["advisory"]},{"url":"https://lists.apache.org/thread.html/4d6d210e319a501b740293daaeeeadb51927111fb8261a3e4cd60060@%3Cdev.spark.apache.org%3E","tags":["web"]},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/pyspark/PYSEC-2018-25.yaml","tags":["web"]}],"sources":{"cve":[{"id":"CVE-2018-1334","description":"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.","status":"published","published":"2018-07-12T13:00:00Z","modified":"2024-09-17T03:22:59.383Z","updated_at":"2026-11-02T14:35:08.701206Z"}],"euvd":[{"id":"EUVD-2018-0127","description":"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.","status":"published","published":"2018-07-12T13:00:00Z","modified":"2024-09-17T03:22:59Z","updated_at":"2026-11-03T00:28:32.482778Z"}],"ghsa":[{"id":"GHSA-6mqq-8r44-vmjc","title":"Exposure of Sensitive Information to an Unauthorized Actor in Apache Spark","description":"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.","status":"published","published":"2019-03-14T15:41:04Z","modified":"2024-10-21T21:07:40Z","cvss":[{"version":"4.0","score":6,"vector":"CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:N/VI:H/VA:N/SC:N/SI:N/SA:N","level":"medium"},{"version":"3.0","score":4.7,"vector":"CVSS:3.0/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:H/A:N","level":"medium"}],"cwes":["CWE-200"],"updated_at":"2026-11-02T14:38:12.325695Z"}],"nvd":[{"id":"CVE-2018-1334","description":"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.","status":"published","published":"2018-07-12T13:29:00.227Z","modified":"2026-06-17T01:51:02.61Z","cvss":[{"version":"3.0","score":4.7,"vector":"CVSS:3.0/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:H/A:N","level":"medium","assessor":"primary"},{"version":"2.0","score":1.9,"vector":"AV:L/AC:M/Au:N/C:N/I:P/A:N","level":"low","assessor":"primary"}],"cwes":["CWE-200"],"updated_at":"2026-11-02T14:04:32.929986Z"}],"osv":[{"id":"CVE-2018-1334","description":"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.","status":"published","published":"2018-07-12T13:29:00.227Z","modified":"2026-10-24T10:30:48.649189162Z","cvss":[{"version":"3.0","score":4.7,"vector":"CVSS:3.0/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:H/A:N","level":"medium"}],"updated_at":"2026-11-02T15:44:08.242347Z"},{"id":"GHSA-6mqq-8r44-vmjc","title":"Exposure of Sensitive 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application.","status":"published","published":"2018-07-12T13:29:00Z","modified":"2026-06-10T17:01:41.861758514Z","updated_at":"2026-11-02T15:52:51.645172Z"}]}}