oretnom23 Online Diagnostic Lab Management System 1.0 view_appointment ID sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.4 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in oretnom23 Online Diagnostic Lab Management System 1.0 and classified as critical. This impacts an unknown function of the file /odlms/?page=appointments/view_appointment. Performing a manipulation of the argument ID results in sql injection. This vulnerability is cataloged as CVE-2022-43226. It is possible to initiate the attack remotely. There is no exploit available.
Details
A vulnerability classified as critical has been found in oretnom23 Online Diagnostic Lab Management System 1.0. This affects an unknown part of the file /odlms/?page=appointments/view_appointment. The manipulation of the argument id with an unknown input leads to a sql injection vulnerability. CWE is classifying the issue as CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
Online Diagnostic Lab Management System v1.0 was discovered to contain a SQL injection vulnerability via the id parameter at /odlms/?page=appointments/view_appointment.
The weakness was shared 11/02/2022. It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2022-43226 since 10/17/2022. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.
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
Vendor
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.6VulDB Meta Temp Score: 7.4
VulDB Base Score: 6.3
VulDB Temp Score: 6.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 8.8
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Sql injectionCWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
10/17/2022 🔍11/02/2022 🔍
11/02/2022 🔍
05/03/2025 🔍
Sources
Advisory: github.comStatus: Not defined
CVE: CVE-2022-43226 (🔍)
GCVE (CVE): GCVE-0-2022-43226
GCVE (VulDB): GCVE-100-212859
Entry
Created: 11/02/2022 20:53Updated: 05/03/2025 03:04
Changes: 11/02/2022 20:53 (39), 12/04/2022 09:20 (12), 05/03/2025 03:04 (15)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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