{"id":"CVE-2019-10099","aliases":["EUVD-2019-0110","GHSA-fp5j-3fpf-mhj5","PYSEC-2019-114"],"status":"published","title":"Sensitive data written to disk unencrypted in Spark","description":"Prior to Spark 2.3.3, in certain situations Spark would write user data to local disk unencrypted, even if spark.io.encryption.enabled=true. This includes cached blocks that are fetched to disk (controlled by spark.maxRemoteBlockSizeFetchToMem); in SparkR, using parallelize; in Pyspark, using broadcast and parallelize; and use of python udfs.","severity":{"version":"3.1","score":7.5,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N","level":"high","assessor":"primary","from":"nvd"},"epss":{"day":"2026-11-10","score":0.01308,"percentile":0.70835,"model":"v2026.06.15"},"facts":{"in_kev":false,"known_exploited":false,"public_exploit":false,"fix_available":true},"cwes":["CWE-312"],"published":"2019-08-07T16:18:46Z","modified":"2026-10-24T10:30:54Z","fixes":[{"ecosystem":"Maven","package":"org.apache.spark:spark-core_2.11","fixed_in":["2.3.3"],"sources":["ghsa","osv"]},{"ecosystem":"PyPI","package":"pyspark","fixed_in":["2.3.3"],"sources":["ghsa","osv"]}],"affected":[{"source":"ghsa","ecosystem":"Maven","package":"org.apache.spark:spark-core_2.11","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.3.3"}]}]},{"source":"ghsa","ecosystem":"PyPI","package":"pyspark","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.3.3"}]}]},{"source":"osv","ecosystem":"Maven","package":"org.apache.spark:spark-core_2.11","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.3.3"}]}],"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","2.1.3","2.2.0","2.2.1","2.2.2","2.2.3","2.3.0","2.3.1","2.3.2"]},{"source":"osv","ecosystem":"PyPI","package":"pyspark","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.3.3"}]}],"versions":["2.1.1","2.1.2","2.1.3","2.2.0","2.2.1","2.2.2","2.2.3","2.3.0","2.3.1","2.3.2"]},{"source":"osv","ecosystem":"PyPI","package":"pyspark","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.3.3"}]}],"versions":["2.1.1","2.1.2","2.1.3","2.2.0","2.2.1","2.2.2","2.2.3","2.3.0","2.3.1","2.3.2"]}],"products":[{"vendor":"apache","product":"apache spark"},{"vendor":"apache","product":"spark"},{"vendor":"apache software foundation","product":"apache spark"}],"references":[{"url":"https://lists.apache.org/thread.html/c2a39c207421797f82823a8aff488dcd332d9544038307bf69a2ba9e%40%3Cuser.spark.apache.org%3E","tags":["x_refsource_MISC","x_transferred","web"]},{"url":"https://lists.apache.org/thread.html/rabe1d47e2bf8b8f6d9f3068c8d2679731d57fa73b3a7ed1fa82406d2%40%3Cissues.spark.apache.org%3E","tags":["mailing-list","x_refsource_MLIST","x_transferred","web"]},{"url":"https://lists.apache.org/thread.html/ra216b7b0dd82a2c12c2df9d6095e689eb3f3d28164e6b6587da69fae%40%3Ccommits.spark.apache.org%3E","tags":["mailing-list","x_refsource_MLIST","x_transferred","web"]},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2019-10099","tags":["advisory"]},{"url":"https://lists.apache.org/thread.html/c2a39c207421797f82823a8aff488dcd332d9544038307bf69a2ba9e@%3Cuser.spark.apache.org%3E","tags":["web"]},{"url":"https://lists.apache.org/thread.html/rabe1d47e2bf8b8f6d9f3068c8d2679731d57fa73b3a7ed1fa82406d2@%3Cissues.spark.apache.org%3E","tags":["web"]},{"url":"https://lists.apache.org/thread.html/ra216b7b0dd82a2c12c2df9d6095e689eb3f3d28164e6b6587da69fae@%3Ccommits.spark.apache.org%3E","tags":["web"]},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/pyspark/PYSEC-2019-114.yaml","tags":["web"]},{"url":"https://github.com/advisories/GHSA-fp5j-3fpf-mhj5","tags":["advisory"]}],"sources":{"cve":[{"id":"CVE-2019-10099","description":"Prior to Spark 2.3.3, in certain situations Spark would write user data to local disk unencrypted, even if spark.io.encryption.enabled=true. This includes cached blocks that are fetched to disk (controlled by spark.maxRemoteBlockSizeFetchToMem); in SparkR, using parallelize; in Pyspark, using broadcast and parallelize; and use of python udfs.","status":"published","published":"2019-08-07T16:18:46Z","modified":"2024-08-04T22:10:09.549Z","updated_at":"2026-11-02T14:20:19.056416Z"}],"euvd":[{"id":"EUVD-2019-0110","description":"Prior to Spark 2.3.3, in certain situations Spark would write user data to local disk unencrypted, even if spark.io.encryption.enabled=true. This includes cached blocks that are fetched to disk (controlled by spark.maxRemoteBlockSizeFetchToMem); in SparkR, using parallelize; in Pyspark, using broadcast and parallelize; and use of python udfs.","status":"published","published":"2019-08-07T16:18:46Z","modified":"2024-08-04T22:10:09Z","updated_at":"2026-11-03T02:40:54.154728Z"}],"ghsa":[{"id":"GHSA-fp5j-3fpf-mhj5","title":"Sensitive data written to disk unencrypted in Spark","description":"Prior to Spark 2.3.3, in certain situations Spark would write user data to local disk unencrypted, even if spark.io.encryption.enabled=true. This includes cached blocks that are fetched to disk (controlled by spark.maxRemoteBlockSizeFetchToMem); in SparkR, using parallelize; in Pyspark, using broadcast and parallelize; and use of python udfs.","status":"published","published":"2019-08-08T15:18:22Z","modified":"2024-10-24T21:48:37Z","cvss":[{"version":"4.0","score":8.7,"vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N","level":"high"},{"version":"3.0","score":7.5,"vector":"CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N","level":"high"}],"cwes":["CWE-312"],"updated_at":"2026-11-02T14:38:13.09489Z"}],"nvd":[{"id":"CVE-2019-10099","description":"Prior to Spark 2.3.3, in certain situations Spark would write user data to local disk unencrypted, even if spark.io.encryption.enabled=true. This includes cached blocks that are fetched to disk (controlled by spark.maxRemoteBlockSizeFetchToMem); in SparkR, using parallelize; in Pyspark, using broadcast and parallelize; and use of python udfs.","status":"published","published":"2019-08-07T17:15:12.073Z","modified":"2026-06-17T02:10:14.103Z","cvss":[{"version":"3.1","score":7.5,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N","level":"high","assessor":"primary"},{"version":"2.0","score":4.3,"vector":"AV:N/AC:M/Au:N/C:P/I:N/A:N","level":"medium","assessor":"primary"}],"cwes":["CWE-312"],"updated_at":"2026-11-02T14:05:22.878504Z"}],"osv":[{"id":"CVE-2019-10099","description":"Prior to Spark 2.3.3, in certain situations Spark would write user data to local disk unencrypted, even if spark.io.encryption.enabled=true. This includes cached blocks that are fetched to disk (controlled by spark.maxRemoteBlockSizeFetchToMem); in SparkR, using parallelize; in Pyspark, using broadcast and parallelize; and use of python udfs.","status":"published","published":"2019-08-07T17:15:12.073Z","modified":"2026-10-24T10:30:54.391216613Z","cvss":[{"version":"3.1","score":7.5,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N","level":"high"}],"updated_at":"2026-11-02T15:44:10.051046Z"},{"id":"GHSA-fp5j-3fpf-mhj5","title":"Sensitive data written to disk unencrypted in Spark","description":"Prior to Spark 2.3.3, in certain situations Spark would write user data to local disk unencrypted, even if spark.io.encryption.enabled=true. This includes cached blocks that are fetched to disk (controlled by spark.maxRemoteBlockSizeFetchToMem); in SparkR, using parallelize; in Pyspark, using broadcast and parallelize; and use of python udfs.","status":"published","published":"2019-08-08T15:18:22Z","modified":"2024-10-24T22:35:50.837996Z","cvss":[{"version":"3.0","score":7.5,"vector":"CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N","level":"high"},{"version":"4.0","score":8.7,"vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N","level":"high"}],"cwes":["CWE-312"],"updated_at":"2026-11-02T15:46:46.760785Z"},{"id":"PYSEC-2019-114","description":"Prior to Spark 2.3.3, in certain situations Spark would write user data to local disk unencrypted, even if spark.io.encryption.enabled=true. This includes cached blocks that are fetched to disk (controlled by spark.maxRemoteBlockSizeFetchToMem); in SparkR, using parallelize; in Pyspark, using broadcast and parallelize; and use of python udfs.","status":"published","published":"2019-08-07T17:15:00Z","modified":"2026-06-10T17:01:42.545106499Z","updated_at":"2026-11-02T15:52:52.192131Z"}]}}