CVE-2025-22607
Published: 24 January 2025
Summary
CVE-2025-22607 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Coollabs Coolify. Its CVSS base score is 4.7 (Medium).
Operationally, ranked at the 28.3th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-2881
Vulnerability details
Coolify is an open-source and self-hostable tool for managing servers, applications, and databases. Prior to version 4.0.0-beta.361, the missing authorization allows any authenticated user to fetch the details page for any GitHub / GitLab configuration on a Coolify instance by…
more
only knowing the UUID of the model. This exposes the "client id", "client secret" and "webhook secret." Version 4.0.0-beta.361 fixes this issue.
- 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.
Requiring attribute association with information prevents authorization from being performed without necessary security or privacy context.
Mandates authorization checks before permitting access or data processing via external systems.
The control provides a mechanism for authorized users to determine authorization matches, preventing sharing without proper authorization verification.
Session auditing enables detection of unauthorized exposure or access to sensitive information during user activities.
Sanitizing equipment to remove specified information before off-site maintenance prevents exposure of sensitive information to unauthorized actors such as external maintenance personnel.
Requiring detailed, requestable records of every PII disclosure directly aids detection of unauthorized exposures of sensitive information.
Ensures missing authorization mechanisms for critical data functions are identified and remediated via policy.
Annual reviews and proposal scrutiny detect and block matching programs that would expose sensitive data to unauthorized recipients or systems.