CVE-2024-46979
Published: 18 September 2024
Summary
CVE-2024-46979 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Xwiki Xwiki. Its CVSS base score is 5.3 (Medium).
Operationally, ranked in the top 40.1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-2843
Vulnerability details
XWiki Platform is a generic wiki platform offering runtime services for applications built on top of it. It's possible to get access to notification filters of any user by using a URL such as `<hostname>xwiki/bin/get/XWiki/Notifications/Code/NotificationFilterPreferenceLivetableResults?outputSyntax=plain&type=custom&user=<username>`. This vulnerability impacts all versions…
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of XWiki since 13.2-rc-1. The filters do not provide much information (they mainly contain references which are public data in XWiki), though some info could be used in combination with other vulnerabilities. This vulnerability has been patched in XWiki 14.10.21, 15.5.5, 15.10.1, 16.0RC1. The patch consists in checking the rights of the user when sending the data. Users are advised to upgrade. It's possible to workaround the vulnerability by applying manually the patch: it's possible for an administrator to edit directly the document `XWiki.Notifications.Code.NotificationFilterPreferenceLivetableResults` to apply the same changes as in the patch. See commit c8c6545f9bde6f5aade994aa5b5903a67b5c2582.
- 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 applies security attributes to system outputs, making it harder for attackers to exploit unmarked sensitive information leading to unauthorized exposure.
Proper attribute retention and permitted-value enforcement limits unauthorized actors from accessing sensitive information lacking correct labels.
Review and removal of nonpublic information from publicly accessible systems directly prevents exposure of sensitive data to unauthorized actors.
Data mining protection mechanisms detect and block unauthorized bulk extraction of sensitive data, directly mitigating exposure to unauthorized actors.
Literacy training teaches users to recognize and avoid actions that result in unauthorized exposure of sensitive information.
Documenting information locations and authorized users enables better protection against unauthorized exposure of sensitive data.
Privacy and security architectures require controls to protect sensitive information from unauthorized exposure across the system lifecycle.
Requiring detailed, requestable records of every PII disclosure directly aids detection of unauthorized exposures of sensitive information.