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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2015/11/11 19:27:11 UTC
[jira] [Updated] (SPARK-11652) Remote code execution with
InvokerTransformer
[ https://issues.apache.org/jira/browse/SPARK-11652?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen updated SPARK-11652:
------------------------------
Component/s: Spark Core
> Remote code execution with InvokerTransformer
> ---------------------------------------------
>
> Key: SPARK-11652
> URL: https://issues.apache.org/jira/browse/SPARK-11652
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Reporter: Daniel Darabos
> Priority: Minor
>
> There is a remote code execution vulnerability in the Apache Commons collections library (https://issues.apache.org/jira/browse/COLLECTIONS-580) that can be exploited simply by causing malicious data to be deserialized using Java serialization.
> As Spark is used in security-conscious environments I think it's worth taking a closer look at how the vulnerability affects Spark. What are the points where Spark deserializes external data? Which are affected by using Kryo instead of Java serialization? What mitigation strategies are available?
> If the issue is serious enough but mitigation is possible, it may be useful to post about it on the mailing list or blog.
> Thanks!
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