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CVE-2019-10099

HIGHCVSS 7.5/10EPSS 1.29%

Last modified

CVE-2019-10099 is a high-severity vulnerability rated 7.5/10 on the CVSS scale. 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.. EPSS estimates a 1.29% chance of exploitation in the next 30 days.

Description

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

CVSS 3.1
7.5/10

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

EPSS Probability
1.29%

66.6th percentile

Probability of exploitation in the next 30 days. Learn more

Weakness Enumeration

Affected Software

VendorProductVersions
ApacheSpark>= 1.0.2, <= 1.6.3
ApacheSpark>= 2.0.0, <= 2.0.2
ApacheSpark>= 2.1.0, <= 2.1.3
ApacheSpark>= 2.2.0, <= 2.2.2
ApacheSpark>= 2.3.0, < 2.3.2

References

Timeline

Published
Last Modified
Status
Modified

Frequently Asked Questions

What is CVE-2019-10099?
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.
How severe is CVE-2019-10099?
CVE-2019-10099 has a CVSS score of 7.5/10 (HIGH severity). The EPSS model estimates a 1.29% probability of exploitation in the next 30 days.
How do I fix CVE-2019-10099?
Check the vendor references and advisories linked above for patched versions and mitigation guidance. You can also run a Strix scan to test if your systems are affected.

How Strix Helps

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Source: NVD / NIST