CVE-2018-17190
November 19, 2018
In all versions of Apache Spark, its standalone resource manager accepts code to execute on a 'master' host, that then runs that code on 'worker' hosts. The master itself does not, by design, execute user code. A specially-crafted request to the master can, however, cause the master to execute code too. Note that this does not affect standalone clusters with authentication enabled. While the master host typically has less outbound access to other resources than a worker, the execution of code on the master is nevertheless unexpected.
Affected Packages
org.apache.spark:spark-core_2.10 (JAVA):
Affected version(s) >=1.6.3.2.6.5.1151-18 <=1.6.3.2.6.5.1153-2Fix Suggestion:
Update to version no_fixorg.apache.spark:spark-core_2.11 (JAVA):
Affected version(s) >=2.3.2.3.1.0.3-2 <2.4.5Fix Suggestion:
Update to version 2.4.5DataX.Spark (NUGET):
Affected version(s) =1.0.0-CI-20190314-231915Fix Suggestion:
Update to version no_fixRelated ResourcesĀ (7)
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Contact UsCVSS v4
Base Score:
9.3
Attack Vector
NETWORK
Attack Complexity
LOW
Attack Requirements
NONE
Privileges Required
NONE
User Interaction
NONE
Vulnerable System Confidentiality
HIGH
Vulnerable System Integrity
HIGH
Vulnerable System Availability
HIGH
Subsequent System Confidentiality
NONE
Subsequent System Integrity
NONE
Subsequent System Availability
NONE
CVSS v3
Base Score:
9.8
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality
HIGH
Integrity
HIGH
Availability
HIGH
CVSS v2
Base Score:
7.5
Access Vector
NETWORK
Access Complexity
LOW
Authentication
NONE
Confidentiality Impact
PARTIAL
Integrity Impact
PARTIAL
Availability Impact
PARTIAL
EPSS
Base Score:
1.21