CVE-2025-54124
Published: 06 August 2025
Summary
CVE-2025-54124 is a high-severity Exposure of Private Personal Information to an Unauthorized Actor (CWE-359) vulnerability in Xwiki Xwiki. Its CVSS base score is 7.1 (High).
Operationally, ranked at the 28.6th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-23656
Vulnerability details
XWiki Platform is a generic wiki platform offering runtime services for applications built on top of it. XWiki Platform Legacy Old Core and XWiki Platform Old Core versions 9.8-rc-1 through 16.4.6, 16.5.0-rc-1 through 16.10.4, and 17.0.0-rc-1 through 17.1.0, any user…
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with editing rights can create an XClass with a database list property that references a password property. When adding an object of that XClass, the content of that password property is displayed. In practice, with a standard rights setup, this means that any user with an account on the wiki can access password hashes of all users, and possibly other password properties (with hashed or plain storage) that are on pages that the user can view. This issue is fixed in versions 16.4.7, 16.10.5 and 17.2.0-rc-1.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Automated marking identifies private personal information in outputs, tangibly reducing the ability to exploit weaknesses that result in its unauthorized exposure.
Privacy-specific attributes and their controlled association directly reduce exposure of private personal information through missing or incorrect labeling.
Preventing nonpublic personal information from public posting reduces unauthorized exposure of private personal data.
The control detects and protects against mining of private personal information, reducing unauthorized exposure of PII.
Privacy literacy training directly targets preventing exposure of personal information through user mishandling.
Tracking locations of sensitive data and access users reduces risk of private personal information exposure.
PIA explicitly identifies PII collection/use/disclosure flows and drives mitigations that reduce the likelihood of unauthorized exposure of private personal information.
The control specifically requires architectures that minimize privacy risk when processing PII, directly addressing exposure of personal information.