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.
Metrics
Affected Vendors & Products
Advisories
| Source | ID | Title |
|---|---|---|
EUVD |
EUVD-2019-0110 | 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. |
Github GHSA |
GHSA-fp5j-3fpf-mhj5 | Sensitive data written to disk unencrypted in Spark |
Fixes
Solution
No solution given by the vendor.
Workaround
No workaround given by the vendor.
References
History
No history.
Status: PUBLISHED
Assigner: apache
Published:
Updated: 2024-08-04T22:10:09.549Z
Reserved: 2019-03-26T00:00:00
Link: CVE-2019-10099
No data.
Status : Modified
Published: 2019-08-07T17:15:12.073
Modified: 2024-11-21T04:18:24.237
Link: CVE-2019-10099
No data.
OpenCVE Enrichment
No data.
EUVD
Github GHSA