CVE-2026-25135
Published: 25 February 2026
Summary
CVE-2026-25135 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Open-Emr Openemr. Its CVSS base score is 4.5 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Data from Local System (T1005); ranked at the 36.8th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-8587
Vulnerability details
OpenEMR is a free and open source electronic health records and medical practice management application. Versions prior to 8.0.0 have an information disclosure vulnerability that leaks the entire contact information for all users, organizations, and patients in the system to…
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anyone who has the system/(Group,Patient,*).$export operation and system/Location.read capabilities. This vulnerability will impact OpenEMR versions since 2023. This disclosure will only occur in extremely high trust environments as it requires using a confidential client with secure key exchange that requires an administrator to enable and grant permission before the app can even be used. This will typically only occur in server-server communication across trusted clients that already have established legal agreements. Version 8.0.0 contains a patch. As a workaround, disable clients that have the vulnerable scopes and only allow clients that do not have the system/Location.read scope until a fix has been deployed.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Info disclosure vuln directly enables collection of user/patient data from the EHR system (T1005) and its underlying database repository (T1213.006).
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.