{"id":"PYSEC-2019-114","details":"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.","aliases":["CVE-2019-10099","GHSA-fp5j-3fpf-mhj5"],"modified":"2023-11-08T04:00:40.477318Z","published":"2019-08-07T17:15:00Z","references":[{"type":"WEB","url":"https://lists.apache.org/thread.html/c2a39c207421797f82823a8aff488dcd332d9544038307bf69a2ba9e@%3Cuser.spark.apache.org%3E"},{"type":"WEB","url":"https://lists.apache.org/thread.html/rabe1d47e2bf8b8f6d9f3068c8d2679731d57fa73b3a7ed1fa82406d2@%3Cissues.spark.apache.org%3E"},{"type":"WEB","url":"https://lists.apache.org/thread.html/ra216b7b0dd82a2c12c2df9d6095e689eb3f3d28164e6b6587da69fae@%3Ccommits.spark.apache.org%3E"}],"affected":[{"package":{"name":"pyspark","ecosystem":"PyPI","purl":"pkg:pypi/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"],"database_specific":{"source":"https://github.com/pypa/advisory-database/blob/main/vulns/pyspark/PYSEC-2019-114.yaml"}}],"schema_version":"1.7.3"}