OpenEMR up to 8.4.x Dynamic Finder dynamic_finder_ajax.php sColumns improper authorization
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.3 | $0-$5k | 0.00+ |
Summary
A vulnerability, which was classified as problematic, has been found in OpenEMR up to 8.4.x. Affected by this vulnerability is an unknown functionality of the file dynamic_finder_ajax.php of the component Dynamic Finder. This manipulation of the argument sColumns causes improper authorization. This vulnerability appears as CVE-2026-126443. The attack may be initiated remotely. There is no available exploit. It is advisable to upgrade the affected component.
Details
A vulnerability classified as problematic was found in OpenEMR up to 8.4.x. Affected by this vulnerability is an unknown functionality of the file dynamic_finder_ajax.php of the component Dynamic Finder. The manipulation of the argument sColumns with an unknown input leads to a improper authorization vulnerability. The CWE definition for the vulnerability is CWE-285. The product does not perform or incorrectly performs an authorization check when an actor attempts to access a resource or perform an action. As an impact it is known to affect confidentiality. The summary by CVE is:
OpenEMR before 8.5.0 contains a missing authorization vulnerability in dynamic_finder_ajax.php that allows authenticated users without patients/demo permission to query patient demographics. Attackers can supply arbitrary patient_data columns via the sColumns parameter to enumerate names, dates of birth, contact details, and Social Security numbers across the practice.
It is possible to read the advisory at github.com. This vulnerability is known as CVE-2026-126443 since 11/10/2026. The exploitation appears to be easy. The attack can be launched remotely. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1548.002 according to MITRE ATT&CK.
By approaching the search of inurl:dynamic_finder_ajax.php it is possible to find vulnerable targets with Google Hacking.
Upgrading to version 8.5.0 eliminates this vulnerability.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Name
Version
License
Website
- Product: https://github.com/openemr/openemr/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 5.4VulDB Meta Temp Score: 5.3
VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 6.5
CNA Vector (VulnCheck): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Improper authorizationCWE: CWE-285 / CWE-266
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Google Hack: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: OpenEMR 8.5.0
Timeline
11/10/2026 CVE reserved11/13/2026 Advisory disclosed
11/13/2026 VulDB entry created
11/13/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Confirmed
CNA: VulnCheck
CVE: CVE-2026-126443 (🔒)
GCVE (CVE): GCVE-0-2026-126443
GCVE (VulDB): GCVE-100-436843
Entry
Created: 11/13/2026 11:42Changes: 11/13/2026 11:42 (78)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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