CVE-2023-40278
Published: 19 March 2024
Summary
CVE-2023-40278 is a high-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Openclinic Ga Project Openclinic Ga. Its CVSS base score is 7.5 (High).
Operationally, ranked in the top 5.4% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis
CVE-2023-40278 is an information disclosure vulnerability affecting the printAppointmentPdf.jsp component in OpenClinic GA version 5.247.01. The flaw stems from insufficient validation of the AppointmentUid parameter, which causes the application to return distinguishable error messages that reveal whether a given appointment identifier exists. The issue is tracked under CWE-200 and carries a CVSS 3.1 base score of 7.5, reflecting network-accessible exploitation with no required credentials or user interaction.
An unauthenticated remote attacker can repeatedly supply different AppointmentUid values to the endpoint and observe the resulting error responses to enumerate valid appointment records. This allows systematic discovery of appointment data without triggering authentication controls, exposing potentially sensitive scheduling information.
The EPSS score for the vulnerability has remained flat at 0.1466 with no material increase since disclosure, indicating limited observed exploitation interest to date. No public advisories or vendor patches addressing mitigation steps are referenced in the available sources.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-44871
Vulnerability details
An issue was discovered in OpenClinic GA 5.247.01. An Information Disclosure vulnerability has been identified in the printAppointmentPdf.jsp component of OpenClinic GA. By changing the AppointmentUid parameter, an attacker can determine whether a specific appointment exists based on the error…
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message.
- 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.