CVE-2022-43066: 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/classes/Master.php?f=delete_message.
AI Analysis
Technical Summary
CVE-2022-43066 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/classes/Master.php?f=delete_message. An attacker with high privileges (authentication required) can exploit this flaw by injecting malicious SQL code through the 'id' parameter, which is used in a database query without proper sanitization or parameterization. This vulnerability falls under CWE-89, indicating improper neutralization of special elements used in an SQL command. Exploiting this vulnerability can lead to full compromise of the confidentiality, integrity, and availability of the underlying database and potentially the entire application. The CVSS v3.1 score is 7.2 (high), reflecting network attack vector, low attack complexity, required privileges, no user interaction, and high impact on confidentiality, integrity, and availability. Although no public exploits are currently known, the vulnerability poses a significant risk if weaponized. The lack of vendor or product-specific information limits precise identification, but the affected system is a diagnostic lab management platform, likely used in healthcare or laboratory environments to manage sensitive patient and diagnostic data. The vulnerability could allow attackers to delete or manipulate messages or records, extract sensitive data, or disrupt lab operations.
Potential Impact
For European organizations, especially those in healthcare, diagnostics, and laboratory services, this vulnerability could have severe consequences. Exploitation could lead to unauthorized access to sensitive patient data, violating GDPR and other data protection regulations, resulting in legal penalties and reputational damage. Integrity loss could cause manipulation or deletion of diagnostic messages or lab results, potentially leading to incorrect medical decisions and patient harm. Availability impact could disrupt lab workflows, delaying critical diagnostics and treatment. Given the critical nature of healthcare infrastructure, such an attack could also undermine trust in digital health systems. Organizations using ODLMS or similar lab management solutions must consider the risk of targeted attacks, especially in countries with advanced healthcare sectors and strict data privacy laws.
Mitigation Recommendations
Since no official patches or vendor advisories are available, European organizations should implement immediate compensating controls. These include: 1) Conducting a thorough code review and applying input validation and parameterized queries to the 'id' parameter in the delete_message function to prevent SQL injection. 2) Restricting access to the vulnerable endpoint to only trusted internal networks and authenticated users with the least privilege necessary. 3) Implementing Web Application Firewalls (WAFs) with custom rules to detect and block SQL injection patterns targeting this endpoint. 4) Monitoring logs for unusual database queries or failed attempts to exploit the 'id' parameter. 5) Segregating the database and applying strict access controls to limit damage if exploitation occurs. 6) Planning for migration to updated or alternative lab management systems with secure coding practices. 7) Educating developers and IT staff about secure coding and the risks of SQL injection. These steps go beyond generic advice by focusing on immediate code-level fixes, network controls, and monitoring tailored to the specific vulnerability vector.
Affected Countries
Germany, France, United Kingdom, Italy, Spain, Netherlands, Sweden, Belgium
CVE-2022-43066: 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/classes/Master.php?f=delete_message.
AI-Powered Analysis
Technical Analysis
CVE-2022-43066 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/classes/Master.php?f=delete_message. An attacker with high privileges (authentication required) can exploit this flaw by injecting malicious SQL code through the 'id' parameter, which is used in a database query without proper sanitization or parameterization. This vulnerability falls under CWE-89, indicating improper neutralization of special elements used in an SQL command. Exploiting this vulnerability can lead to full compromise of the confidentiality, integrity, and availability of the underlying database and potentially the entire application. The CVSS v3.1 score is 7.2 (high), reflecting network attack vector, low attack complexity, required privileges, no user interaction, and high impact on confidentiality, integrity, and availability. Although no public exploits are currently known, the vulnerability poses a significant risk if weaponized. The lack of vendor or product-specific information limits precise identification, but the affected system is a diagnostic lab management platform, likely used in healthcare or laboratory environments to manage sensitive patient and diagnostic data. The vulnerability could allow attackers to delete or manipulate messages or records, extract sensitive data, or disrupt lab operations.
Potential Impact
For European organizations, especially those in healthcare, diagnostics, and laboratory services, this vulnerability could have severe consequences. Exploitation could lead to unauthorized access to sensitive patient data, violating GDPR and other data protection regulations, resulting in legal penalties and reputational damage. Integrity loss could cause manipulation or deletion of diagnostic messages or lab results, potentially leading to incorrect medical decisions and patient harm. Availability impact could disrupt lab workflows, delaying critical diagnostics and treatment. Given the critical nature of healthcare infrastructure, such an attack could also undermine trust in digital health systems. Organizations using ODLMS or similar lab management solutions must consider the risk of targeted attacks, especially in countries with advanced healthcare sectors and strict data privacy laws.
Mitigation Recommendations
Since no official patches or vendor advisories are available, European organizations should implement immediate compensating controls. These include: 1) Conducting a thorough code review and applying input validation and parameterized queries to the 'id' parameter in the delete_message function to prevent SQL injection. 2) Restricting access to the vulnerable endpoint to only trusted internal networks and authenticated users with the least privilege necessary. 3) Implementing Web Application Firewalls (WAFs) with custom rules to detect and block SQL injection patterns targeting this endpoint. 4) Monitoring logs for unusual database queries or failed attempts to exploit the 'id' parameter. 5) Segregating the database and applying strict access controls to limit damage if exploitation occurs. 6) Planning for migration to updated or alternative lab management systems with secure coding practices. 7) Educating developers and IT staff about secure coding and the risks of SQL injection. These steps go beyond generic advice by focusing on immediate code-level fixes, network controls, and monitoring tailored to the specific vulnerability vector.
Affected Countries
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: 682d9837c4522896dcbeb875
Added to database: 5/21/2025, 9:09:11 AM
Last enriched: 7/3/2025, 6:43:22 AM
Last updated: 2/7/2026, 6:34:09 PM
Views: 33
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Related Threats
CVE-2026-2106: Improper Authorization in yeqifu warehouse
MediumCVE-2026-2105: Improper Authorization in yeqifu warehouse
MediumCVE-2026-2090: SQL Injection in SourceCodester Online Class Record System
MediumCVE-2026-2089: SQL Injection in SourceCodester Online Class Record System
MediumCVE-2026-2088: SQL Injection in PHPGurukul Beauty Parlour Management System
MediumActions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
External Links
Need more coverage?
Upgrade to Pro Console in Console -> Billing for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.