CVE-2018-17190: Spark core 2.11 Remote Code Execution Vulnerability
CRITICALCVE-2018-17190 is a CRITICAL (CVSS 9.8) remote code execution vulnerability (General Security Weakness) affecting Spark core 2.11 libraries in the Maven ecosystem. The issue involves remote code execution in spark-core. Remediation is available in the latest vendor maintenance releases.
CVE-2018-17190 at a Glance
Security Impact
CVSS: 9.8
The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H).
How to Fix CVE-2018-17190
To remediate this vulnerability, upgrade all affected Spark core 2.11 dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.11</artifactId>
<version>Latest secure release</version>
</dependency><dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.10</artifactId>
<version>Latest secure release</version>
</dependency>Run the following command in your project directory to verify that all resolved dependencies use the patched release:
mvn dependency:tree -Dincludes=org.apache.sparkHow to Check if You Are Affected
To determine whether your Java application is affected by CVE-2018-17190, inspect your build dependencies using the Maven Dependency Plugin:
mvn dependency:tree -Dincludes=org.apache.sparkAnalyze the terminal output to locate any version of Spark core 2.11 in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than the patched release), your application is affected.
Note: The mvn dependency:tree -Dincludes=org.apache.spark command inspects the resolved dependency graph declared in your project's POM files; it does not perform automated security scanning or inspect runtime dynamic classpaths. Always verify runtime container classpaths and shaded JARs.
Technical Details
Vulnerability Mechanism & Technical Analysis
This vulnerability is classified under General Security Weakness. In Spark core 2.11, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.
Source Advisory Statement
CVE-2018-17190 Affected Spark core 2.11 Versions
2 component(s)| Product / Package | Ecosystem | Affected Versions | Fixed Version |
|---|---|---|---|
|
org.apache.spark:spark-core_2.11
|
Maven |
|
|
|
org.apache.spark:spark-core_2.10
|
Maven |
|
|
References
Frequently Asked Questions
What is CVE-2018-17190?
Which Spark core 2.11 versions are affected?
What version fixes CVE-2018-17190?
Is spark-core_2.11 affected?
Is spark-core_2.10 affected?
What is the CVSS score of CVE-2018-17190?
What CWE is associated with CVE-2018-17190?
How can I check Maven dependencies for CVE-2018-17190?
Machine-readable OSV JSON
OSV v1.5 Schema
{
"schema_version" : "1.4.0",
"id" : "GHSA-phg2-9c5g-m4q7",
"modified" : "2022-09-14T22:04:46Z",
"published" : "2018-11-21T22:19:30Z",
"aliases" : [ "CVE-2018-17190" ],
"summary" : "Remote Code Execution in spark-core",
"details" : "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.\n\n# Mitigation\nEnable authentication on any Spark standalone cluster that is not otherwise secured from unwanted access, for example by network-level restrictions. Use spark.authenticate and related security properties described at https://spark.apache.org/docs/latest/security.html",
"severity" : [ {
"type" : "CVSS_V3",
"score" : "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H"
} ],
"affected" : [ {
"package" : {
"ecosystem" : "Maven",
"name" : "org.apache.spark:spark-core_2.11"
},
"ranges" : [ {
"type" : "ECOSYSTEM",
"events" : [ {
"introduced" : "0"
} ]
} ]
}, {
"package" : {
"ecosystem" : "Maven",
"name" : "org.apache.spark:spark-core_2.10"
},
"ranges" : [ {
"type" : "ECOSYSTEM",
"events" : [ {
"introduced" : "0"
} ]
} ]
} ],
"references" : [ {
"type" : "ADVISORY",
"url" : "https://nvd.nist.gov/vuln/detail/CVE-2018-17190"
}, {
"type" : "ADVISORY",
"url" : "https://github.com/advisories/GHSA-phg2-9c5g-m4q7"
}, {
"type" : "WEB",
"url" : "https://lists.apache.org/thread.html/341c3187f15cdb0d353261d2bfecf2324d56cb7db1339bfc7b30f6e5@%3Cdev.spark.apache.org%3E"
}, {
"type" : "WEB",
"url" : "https://security.gentoo.org/glsa/201903-21"
}, {
"type" : "WEB",
"url" : "https://www.oracle.com/security-alerts/cpujul2020.html"
}, {
"type" : "WEB",
"url" : "http://www.securityfocus.com/bid/105976"
} ],
"database_specific" : {
"cwe_ids" : [ ],
"severity" : "CRITICAL",
"github_reviewed" : true,
"github_reviewed_at" : "2020-06-16T21:49:15Z",
"nvd_published_at" : null
}
}