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https://issues.apache.org/jira/browse/SPARK-20922?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16112602#comment-16112602
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Sean Owen commented on SPARK-20922:
-----------------------------------
If you'd email a suggested CVE description to priv...@spark.apache.org, we can
go through the motions of reporting it as one. The ASF process is:
https://www.apache.org/security/ https://www.apache.org/security/projects.html
> Unsafe deserialization in Spark LauncherConnection
> --------------------------------------------------
>
> Key: SPARK-20922
> URL: https://issues.apache.org/jira/browse/SPARK-20922
> Project: Spark
> Issue Type: Bug
> Components: Spark Submit
> Affects Versions: 2.1.1
> Reporter: Aditya Sharad
> Assignee: Marcelo Vanzin
> Labels: security
> Fix For: 2.0.3, 2.1.2, 2.2.0, 2.3.0
>
> Attachments: spark-deserialize-master.zip
>
>
> The {{run()}} method of the class
> {{org.apache.spark.launcher.LauncherConnection}} performs unsafe
> deserialization of data received by its socket. This makes Spark applications
> launched programmatically using the {{SparkLauncher}} framework potentially
> vulnerable to remote code execution by an attacker with access to any user
> account on the local machine. Such an attacker could send a malicious
> serialized Java object to multiple ports on the local machine, and if this
> port matches the one (randomly) chosen by the Spark launcher, the malicious
> object will be deserialized. By making use of gadget chains in code present
> on the Spark application classpath, the deserialization process can lead to
> RCE or privilege escalation.
> This vulnerability is identified by the “Unsafe deserialization” rule on
> lgtm.com:
> https://lgtm.com/projects/g/apache/spark/snapshot/80fdc2c9d1693f5b3402a79ca4ec76f6e422ff13/files/launcher/src/main/java/org/apache/spark/launcher/LauncherConnection.java#V58
>
> Attached is a proof-of-concept exploit involving a simple
> {{SparkLauncher}}-based application and a known gadget chain in the Apache
> Commons Beanutils library referenced by Spark.
> See the readme file for demonstration instructions.
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