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CVE-2019-10099
Good to know:
Date: August 7, 2019
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.
Language: Java
Severity Score
Related Resources (9)
Severity Score
Top Fix
Upgrade Version
Upgrade to version pyspark - 2.3.3;org.apache.spark:spark-core_2.11:2.3.3
CVSS v3.1
| Base Score: |
|
|---|---|
| Attack Vector (AV): | NETWORK |
| Attack Complexity (AC): | LOW |
| Privileges Required (PR): | NONE |
| User Interaction (UI): | NONE |
| Scope (S): | UNCHANGED |
| Confidentiality (C): | HIGH |
| Integrity (I): | NONE |
| Availability (A): | NONE |
CVSS v2
| Base Score: |
|
|---|---|
| Access Vector (AV): | NETWORK |
| Access Complexity (AC): | MEDIUM |
| Authentication (AU): | NONE |
| Confidentiality (C): | PARTIAL |
| Integrity (I): | NONE |
| Availability (A): | NONE |
| Additional information: |
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