LFI through XWiki JIRA Extension v8.6.5 (Fake JIRA URL)
CVE-2025-31487 Published on April 3, 2025

The XWiki JIRA extension allows data leak through an XXE attack by using a fake JIRA server
The XWiki JIRA extension provides various integration points between XWiki and JIRA (macros, UI, CKEditor plugin). If the JIRA macro is installed, any logged in XWiki user could edit his/her user profile wiki page and use that JIRA macro, specifying a fake JIRA URL that returns an XML specifying a DOCTYPE pointing to a local file on the XWiki server host and displaying that file's content in one of the returned JIRA fields (such as the summary or description for example). The vulnerability has been patched in the JIRA Extension v8.6.5.

Github Repository NVD

Vulnerability Analysis

CVE-2025-31487 can be exploited with network access, and requires small amount of user privileges. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to have a high impact on confidentiality, with no impact on integrity and availability.

Attack Vector:
NETWORK
Attack Complexity:
LOW
Privileges Required:
LOW
User Interaction:
NONE
Scope:
CHANGED
Confidentiality Impact:
HIGH
Integrity Impact:
NONE
Availability Impact:
NONE

Weakness Type

What is a XXE Vulnerability?

The software processes an XML document that can contain XML entities with URIs that resolve to documents outside of the intended sphere of control, causing the product to embed incorrect documents into its output.

CVE-2025-31487 has been classified to as a XXE vulnerability or weakness.


Affected Versions

xwiki-contrib jira Version >= 4.2, < 8.5.6 is affected by CVE-2025-31487

Vulnerable Packages

The following package name and versions may be associated with CVE-2025-31487

Package Manager Vulnerable Package Versions Fixed In
maven org.xwiki.contrib.jira:jira-macro-default >= 4.2, < 8.5.6 8.5.6

Exploit Probability

EPSS
0.29%
Percentile
52.12%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.