CVE-2022-43226: n/a in n/a
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.
AI Analysis
Technical Summary
CVE-2022-43226 is a high-severity SQL injection vulnerability identified in the Online Diagnostic Lab Management System (ODLMS) version 1.0. The vulnerability exists in the 'id' parameter of the endpoint /odlms/?page=appointments/view_appointment. SQL injection (CWE-89) vulnerabilities occur when untrusted input is improperly sanitized and directly embedded into SQL queries, allowing an attacker to manipulate the database query logic. In this case, the 'id' parameter is vulnerable, enabling an attacker with at least low privileges (PR:L) to execute arbitrary SQL commands remotely (AV:N) without requiring user interaction (UI:N). The vulnerability has a CVSS 3.1 base score of 8.8, indicating high severity, with impacts on confidentiality, integrity, and availability (C:H/I:H/A:H). Exploitation could lead to unauthorized data disclosure, data modification, or even complete system compromise. Although no known exploits are currently reported in the wild, the vulnerability's characteristics make it a significant risk if left unpatched. The lack of vendor or product information and absence of published patches suggest limited public awareness and potential difficulty in remediation. The vulnerability affects a specialized healthcare management system, which typically stores sensitive patient and appointment data, increasing the risk of privacy violations and regulatory non-compliance if exploited.
Potential Impact
For European organizations, especially healthcare providers using the Online Diagnostic Lab Management System or similar platforms, this vulnerability poses a critical risk. Exploitation could lead to unauthorized access to sensitive patient health information, violating GDPR and other data protection regulations, resulting in legal penalties and reputational damage. The integrity of appointment and diagnostic data could be compromised, potentially affecting patient care quality and safety. Availability impacts could disrupt diagnostic lab operations, causing delays and operational inefficiencies. Given the healthcare sector's strategic importance and strict regulatory environment in Europe, such a vulnerability could have severe operational, financial, and compliance consequences. Additionally, the cross-border nature of healthcare services in the EU means that exploitation in one country could have cascading effects across multiple member states.
Mitigation Recommendations
Specific mitigation steps include: 1) Immediate code review and remediation of the 'id' parameter handling in the /odlms/?page=appointments/view_appointment endpoint to implement parameterized queries or prepared statements, eliminating direct concatenation of user input into SQL queries. 2) Conduct comprehensive input validation and sanitization across all user inputs to prevent injection attacks. 3) Implement least privilege principles for database access accounts to limit the impact of potential exploitation. 4) Deploy Web Application Firewalls (WAFs) with custom rules to detect and block SQL injection attempts targeting the vulnerable endpoint. 5) Monitor application logs and database activity for anomalous queries indicative of exploitation attempts. 6) If vendor patches become available, prioritize their deployment. 7) Conduct security awareness training for developers and administrators on secure coding practices and vulnerability management. 8) Consider network segmentation and access controls to restrict external access to the diagnostic lab management system. These measures go beyond generic advice by focusing on the specific vulnerable parameter and operational context.
Affected Countries
Germany, France, United Kingdom, Italy, Spain, Netherlands, Belgium, Sweden
CVE-2022-43226: n/a in n/a
Description
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.
AI-Powered Analysis
Technical Analysis
CVE-2022-43226 is a high-severity SQL injection vulnerability identified in the Online Diagnostic Lab Management System (ODLMS) version 1.0. The vulnerability exists in the 'id' parameter of the endpoint /odlms/?page=appointments/view_appointment. SQL injection (CWE-89) vulnerabilities occur when untrusted input is improperly sanitized and directly embedded into SQL queries, allowing an attacker to manipulate the database query logic. In this case, the 'id' parameter is vulnerable, enabling an attacker with at least low privileges (PR:L) to execute arbitrary SQL commands remotely (AV:N) without requiring user interaction (UI:N). The vulnerability has a CVSS 3.1 base score of 8.8, indicating high severity, with impacts on confidentiality, integrity, and availability (C:H/I:H/A:H). Exploitation could lead to unauthorized data disclosure, data modification, or even complete system compromise. Although no known exploits are currently reported in the wild, the vulnerability's characteristics make it a significant risk if left unpatched. The lack of vendor or product information and absence of published patches suggest limited public awareness and potential difficulty in remediation. The vulnerability affects a specialized healthcare management system, which typically stores sensitive patient and appointment data, increasing the risk of privacy violations and regulatory non-compliance if exploited.
Potential Impact
For European organizations, especially healthcare providers using the Online Diagnostic Lab Management System or similar platforms, this vulnerability poses a critical risk. Exploitation could lead to unauthorized access to sensitive patient health information, violating GDPR and other data protection regulations, resulting in legal penalties and reputational damage. The integrity of appointment and diagnostic data could be compromised, potentially affecting patient care quality and safety. Availability impacts could disrupt diagnostic lab operations, causing delays and operational inefficiencies. Given the healthcare sector's strategic importance and strict regulatory environment in Europe, such a vulnerability could have severe operational, financial, and compliance consequences. Additionally, the cross-border nature of healthcare services in the EU means that exploitation in one country could have cascading effects across multiple member states.
Mitigation Recommendations
Specific mitigation steps include: 1) Immediate code review and remediation of the 'id' parameter handling in the /odlms/?page=appointments/view_appointment endpoint to implement parameterized queries or prepared statements, eliminating direct concatenation of user input into SQL queries. 2) Conduct comprehensive input validation and sanitization across all user inputs to prevent injection attacks. 3) Implement least privilege principles for database access accounts to limit the impact of potential exploitation. 4) Deploy Web Application Firewalls (WAFs) with custom rules to detect and block SQL injection attempts targeting the vulnerable endpoint. 5) Monitor application logs and database activity for anomalous queries indicative of exploitation attempts. 6) If vendor patches become available, prioritize their deployment. 7) Conduct security awareness training for developers and administrators on secure coding practices and vulnerability management. 8) Consider network segmentation and access controls to restrict external access to the diagnostic lab management system. These measures go beyond generic advice by focusing on the specific vulnerable parameter and operational context.
Affected Countries
For access to advanced analysis and higher rate limits, contact root@offseq.com
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- mitre
- Date Reserved
- 2022-10-17T00:00:00.000Z
- Cisa Enriched
- true
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 682d9837c4522896dcbeb87d
Added to database: 5/21/2025, 9:09:11 AM
Last enriched: 7/3/2025, 6:43:51 AM
Last updated: 7/31/2025, 10:15:44 PM
Views: 15
Related Threats
Researcher to release exploit for full auth bypass on FortiWeb
HighCVE-2025-9091: Hard-coded Credentials in Tenda AC20
LowCVE-2025-9090: Command Injection in Tenda AC20
MediumCVE-2025-9092: CWE-400 Uncontrolled Resource Consumption in Legion of the Bouncy Castle Inc. Bouncy Castle for Java - BC-FJA 2.1.0
LowCVE-2025-9089: Stack-based Buffer Overflow in Tenda AC20
HighActions
Updates to AI analysis are available only with a Pro account. Contact root@offseq.com for access.
External Links
Need enhanced features?
Contact root@offseq.com for Pro access with improved analysis and higher rate limits.