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https://issues.apache.org/jira/browse/JAMES-2570?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16660347#comment-16660347
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ASF GitHub Bot commented on JAMES-2570:
---------------------------------------
GitHub user trantienduchn opened a pull request:
https://github.com/apache/james-project/pull/138
JAMES-2570 Upgrade spark java from 2.6.0 to 2.8.0
[CVE-2018-9159](https://nvd.nist.gov/vuln/detail/CVE-2018-9159)
moderate severity
Vulnerable versions: < 2.7.2
Patched version: 2.7.2
In Spark before 2.7.2, a remote attacker can read unintended static files
via various representations of absolute or relative pathnames, as demonstrated
by file: URLs and directory traversal sequences. NOTE: this product is
unrelated to Ignite Realtime Spark.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/trantienduchn/james-project JAMES-2570
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/james-project/pull/138.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #138
----
commit 8c9a790d4e7281416ddae22e925bb6616cfb7725
Author: tran tien duc <dtran@...>
Date: 2018-10-23T08:14:17Z
JAMES-2570 Upgrade spark java from 2.6.0 to 2.8.0
----
> Upgrade com.sparkjava:spark-core from 2.6.0 to 2.8.0
> ----------------------------------------------------
>
> Key: JAMES-2570
> URL: https://issues.apache.org/jira/browse/JAMES-2570
> Project: James Server
> Issue Type: Improvement
> Reporter: Trần Tiến Đức
> Priority: Major
>
> h5. CVE-2018-9159 [More
> information|https://nvd.nist.gov/vuln/detail/CVE-2018-9159](https://nvd.nist.gov/vuln/detail/CVE-2018-9159)
> moderate severity
> *Vulnerable versions:* < 2.7.2
> *Patched version:* 2.7.2
> In Spark before 2.7.2, a remote attacker can read unintended static files via
> various representations of absolute or relative pathnames, as demonstrated by
> file: URLs and directory traversal sequences. NOTE: this product is unrelated
> to Ignite Realtime Spark.
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