Learn about CVE-2019-10099 affecting Apache Spark versions 2.3.2 and below. Understand the impact, technical details, and mitigation steps for this unencrypted data storage vulnerability.
CVE-2019-10099 pertains to a security issue in Apache Spark versions 2.3.2 and below, where unencrypted user data was saved to the local disk despite encryption settings. This article provides insights into the vulnerability, its impact, technical details, and mitigation strategies.
Understanding CVE-2019-10099
Apache Spark versions 2.3.2 and below were affected by a vulnerability that allowed unencrypted user data to be stored on the local disk, even when encryption was enabled.
What is CVE-2019-10099?
Prior to Spark 2.3.3, certain scenarios led to Spark saving user data to the local disk without encryption, disregarding the spark.io.encryption.enabled=true configuration parameter. This behavior affected various operations in Spark, including cached blocks fetched to disk, parallelize operations in SparkR, and both broadcast and parallelize operations in Pyspark, as well as the use of Python UDFs.
The Impact of CVE-2019-10099
The vulnerability allowed sensitive user data to be stored in an unencrypted format on the local disk, potentially exposing it to unauthorized access and compromise.
Technical Details of CVE-2019-10099
Apache Spark CVE-2019-10099 involves the following technical aspects:
Vulnerability Description
Before Spark 2.3.3, the issue allowed unencrypted user data to be written to the local disk, even with encryption settings enabled.
Affected Systems and Versions
Exploitation Mechanism
The vulnerability was exploited by Spark in scenarios where user data was saved to the local disk without encryption, despite encryption settings being turned on.
Mitigation and Prevention
To address CVE-2019-10099 and enhance security, consider the following steps:
Immediate Steps to Take
Long-Term Security Practices
Patching and Updates