OpenEMR 7.0.1 Main Login Endpoint authUser/clearPass excessive authentication
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.4 | $0-$5k | 0.00 |
Summary
A vulnerability identified as problematic has been detected in OpenEMR 7.0.1. This impacts an unknown function of the component Main Login Endpoint. The manipulation of the argument authUser/clearPass leads to excessive authentication. This vulnerability is traded as CVE-2023-54347. It is possible to initiate the attack remotely. Furthermore, there is an exploit available.
Details
A vulnerability was found in OpenEMR 7.0.1 and classified as problematic. This issue affects some unknown functionality of the component Main Login Endpoint. The manipulation of the argument authUser/clearPass with an unknown input leads to a excessive authentication vulnerability. Using CWE to declare the problem leads to CWE-307. The product does not implement sufficient measures to prevent multiple failed authentication attempts within a short time frame, making it more susceptible to brute force attacks. Impacted is confidentiality. The summary by CVE is:
OpenEMR 7.0.1 contains an authentication brute force vulnerability that allows attackers to bypass rate limiting protections by sending repeated login attempts to the main login endpoint. Attackers can submit POST requests with authUser and clearPass parameters to systematically test username and password combinations without account lockout restrictions.
The weakness was shared by Abhhi as 51413. It is possible to read the advisory at exploit-db.com. The identification of this vulnerability is CVE-2023-54347 since 01/10/2026. The exploitation is known to be difficult. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details as well as a public exploit are known. The attack technique deployed by this issue is T1110.001 according to MITRE ATT&CK.
The exploit is available at exploit-db.com. It is declared as proof-of-concept.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Name
Version
License
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: 5.6VulDB Meta Temp Score: 5.4
VulDB Base Score: 3.7
VulDB Temp Score: 3.4
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 7.5
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: Excessive authenticationCWE: CWE-307 / CWE-799 / CWE-400
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Access: Public
Status: Proof-of-Concept
Download: 🔒
EPSS Score: 🔒
EPSS Percentile: 🔒
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: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
01/10/2026 CVE reserved05/05/2026 Advisory disclosed
05/05/2026 VulDB entry created
05/05/2026 VulDB entry last update
Sources
Advisory: 51413Researcher: Abhhi
Status: Not defined
CVE: CVE-2023-54347 (🔒)
GCVE (CVE): GCVE-0-2023-54347
GCVE (VulDB): GCVE-100-361139
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 05/05/2026 14:00Changes: 05/05/2026 14:00 (80)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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