CVE-2025-25195
Published: 13 February 2025
Summary
CVE-2025-25195 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability. Its CVSS base score is 4.3 (Medium).
Operationally, ranked at the 40.9th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-4083
Vulnerability details
Zulip is an open source team chat application. A weekly cron job (added in 50256f48314250978f521ef439cafa704e056539) demotes channels to being "inactive" after they have not received traffic for 180 days. However, upon doing so, an event was sent to all users…
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in the organization, not just users in the channel. This event contained the name of the private channel. Similarly, the same commit (50256f48314250978f521ef439cafa704e056539) added functionality to notify clients when channels stopped being "inactive." The first message sent to a private channel which had not previously had any messages for over 180 days (and were thus already marked "inactive") would leak an event to all users in the organization; this event also contained the name of the private channel. Commits 75be449d456d29fef27e9d1828bafa30174284b4 and a2a1a7f8d152296c8966f1380872c0ac69e5c87e fixed the issue. This vulnerability only existed in `main`, and was not part of any published versions.
- 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.
Prevents unauthorized exposure of sensitive information by prohibiting untrusted external systems from processing or storing it.
By enforcing authorization matching prior to sharing, the control reduces the risk of exposing sensitive information to unauthorized actors.
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.
Retaining and monitoring training records confirms personnel have completed privacy and security awareness training on handling sensitive data, reducing the chance of unauthorized exposure due to lack of knowledge.