CVE-2019-10099
moderate-risk
Published 2019-08-07
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.
Do I need to act?
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0.54% chance of exploitation
EPSS score — low exploit probability
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Not on CISA KEV list
No confirmed active exploitation reported to CISA
?
Patch status unknown
Check vendor advisories for fix availability and mitigation guidance
7
CVSS 7.5/10
High
NETWORK
/ LOW complexity
Affected Products (1)
Affected Vendors
References (6)
33
/ 100
moderate-risk
Severity
26/34 · High
Exploitability
2/34 · Minimal
Exposure
5/34 · Minimal