PYSEC-2019-114
See a problem?- Import Source
- https://github.com/pypa/advisory-database/blob/main/vulns/pyspark/PYSEC-2019-114.yaml
- JSON Data
- https://api.osv.dev/v1/vulns/PYSEC-2019-114
- Aliases
- Published
- 2019-08-07T17:15:00Z
- Modified
- 2023-11-08T04:00:40.477318Z
- Summary
- [none]
- 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.
- References
-
- https://lists.apache.org/thread.html/c2a39c207421797f82823a8aff488dcd332d9544038307bf69a2ba9e@%3Cuser.spark.apache.org%3E
- https://lists.apache.org/thread.html/rabe1d47e2bf8b8f6d9f3068c8d2679731d57fa73b3a7ed1fa82406d2@%3Cissues.spark.apache.org%3E
- https://lists.apache.org/thread.html/ra216b7b0dd82a2c12c2df9d6095e689eb3f3d28164e6b6587da69fae@%3Ccommits.spark.apache.org%3E
Affected packages
PyPI / pyspark
Package
- Name
- pyspark
- View open source insights on deps.dev
- Purl
- pkg:pypi/pyspark