PyPi: Pyspark

CVE-2019-10099

Safety vulnerability ID: 37352

This vulnerability was reviewed by experts

The information on this page was manually curated by our Cybersecurity Intelligence Team.

Created at Aug 07, 2019 Updated at Jan 15, 2026
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Advisory

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Affected package

pyspark

Latest version: 4.1.1

Apache Spark Python API

Affected versions

[This affected versions has been limited. Please create a free account to view the full affected versions.]

Fixed versions

[This fixed versions has been limited. Please create a free account to view the full fixed versions.]

Vulnerability changelog

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.


MISC:https://lists.apache.org/thread.html/c2a39c207421797f82823a8aff488dcd332d9544038307bf69a2ba9e@%3Cuser.spark.apache.org%3E: https://lists.apache.org/thread.html/c2a39c207421797f82823a8aff488dcd332d9544038307bf69a2ba9e@%3Cuser.spark.apache.org%3E

Resources

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Severity Details

CVSS Base Score

HIGH 7.5

CVSS v3 Details

HIGH 7.5
Attack Vector (AV)
NETWORK
Attack Complexity (AC)
LOW
Privileges Required (PR)
NONE
User Interaction (UI)
NONE
Scope (S)
UNCHANGED
Confidentiality Impact (C)
HIGH
Integrity Impact (I)
NONE
Availability Availability (A)
NONE

CVSS v2 Details

MEDIUM 4.3
Access Vector (AV)
NETWORK
Access Complexity (AC)
MEDIUM
Authentication (Au)
NONE
Confidentiality Impact (C)
PARTIAL
Integrity Impact (I)
NONE
Availability Impact (A)
NONE