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CVE-2020-2225
Java vulnerability analysis and mitigation

Overview

Jenkins Matrix Project Plugin version 1.16 and earlier contains a stored cross-site scripting (XSS) vulnerability identified as CVE-2020-2225. The vulnerability exists due to the plugin's failure to escape axis names shown in tooltips on the overview page of builds with multiple axes. This vulnerability was disclosed on July 15, 2020, affecting the Matrix Project Plugin up to and including version 1.16 (Jenkins Advisory, OSS Security).

Technical details

The vulnerability is classified as a stored cross-site scripting (XSS) issue with a High severity rating. The security flaw stems from improper input validation where the plugin fails to properly escape axis names displayed in tooltips on the build overview page when multiple axes are present. The vulnerability is tracked as SECURITY-1925 and has been assigned CVE-2020-2225 (Jenkins Advisory).

Impact

When exploited, this vulnerability allows attackers with Job/Configure permission to execute arbitrary JavaScript code in the context of other users' browsers who view the affected build overview pages. This could potentially lead to session hijacking, credential theft, or other malicious actions performed in the context of the victim's browser session (Jenkins Advisory).

Exploitability

The vulnerability is exploitable by users who have Job/Configure permission in the Jenkins environment. The attacker would need to have sufficient privileges to configure jobs in order to inject malicious scripts through the axis names that appear in tooltips (Jenkins Advisory).

Mitigation and workarounds

The vulnerability has been fixed in Matrix Project Plugin version 1.17, which properly escapes the axis names shown in tooltips. Users are strongly advised to upgrade to this version or later to address the security issue. The fix involves implementing proper escaping mechanisms for axis names displayed in tooltips on the build overview page (Jenkins Advisory).

Additional resources


SourceThis report was generated using AI

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