CVE-2022-43058: 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_activity.
AI Analysis
Technical Summary
CVE-2022-43058 is a critical 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_activity. SQL injection (CWE-89) occurs when untrusted input is improperly sanitized and directly included in SQL queries, allowing an attacker to manipulate the database query. In this case, the 'id' parameter is vulnerable, enabling an unauthenticated remote attacker to execute arbitrary SQL commands against the backend database. The CVSS v3.1 base score of 9.8 reflects the severity: the attack vector is network-based (AV:N), requires no privileges (PR:N), no user interaction (UI:N), and impacts confidentiality, integrity, and availability (C:H/I:H/A:H) of the system. Exploitation could lead to unauthorized data disclosure, data modification, or complete system compromise. Although no known exploits are currently reported in the wild, the vulnerability's nature and ease of exploitation make it a significant threat. The absence of vendor or product-specific information and patch links suggests that the affected software may be niche or custom-built, potentially limiting widespread exposure but increasing risk for organizations using this system without mitigation. The vulnerability was published on November 9, 2022, and is recognized by CISA, indicating its relevance to cybersecurity stakeholders.
Potential Impact
For European organizations, especially healthcare providers or diagnostic laboratories using the Online Diagnostic Lab Management System, this vulnerability poses a severe risk. Exploitation could lead to unauthorized access to sensitive patient data, including medical records and diagnostic results, violating GDPR requirements for data protection and privacy. Data integrity could be compromised, leading to incorrect diagnostic information, which may affect patient care. Availability impacts could disrupt lab operations, delaying diagnostics and treatment. The critical severity and remote exploitability mean attackers can compromise systems without authentication or user interaction, increasing the likelihood of automated or targeted attacks. Additionally, healthcare infrastructure is a high-value target in Europe due to its critical role and regulatory environment, making exploitation potentially damaging both operationally and reputationally. Organizations failing to address this vulnerability risk regulatory penalties, loss of patient trust, and operational disruptions.
Mitigation Recommendations
Given the critical nature of this SQL injection vulnerability, European organizations should take immediate and specific actions: 1) Identify all instances of the Online Diagnostic Lab Management System v1.0 within their environment. 2) Implement input validation and parameterized queries or prepared statements in the affected 'id' parameter to prevent SQL injection. 3) If source code modification is not feasible, deploy Web Application Firewalls (WAFs) with custom rules to detect and block SQL injection attempts targeting the vulnerable endpoint. 4) Conduct thorough security testing, including automated and manual penetration testing focused on SQL injection vectors. 5) Monitor logs for suspicious database query patterns or repeated access attempts to /odlms//classes/Master.php. 6) Isolate or segment vulnerable systems to limit lateral movement if exploitation occurs. 7) Engage with software vendors or developers to obtain patches or updated versions addressing this vulnerability. 8) Educate IT and security teams about this specific vulnerability and ensure incident response plans include SQL injection attack scenarios. These targeted measures go beyond generic advice by focusing on the specific vulnerable parameter, endpoint, and the operational context of diagnostic lab systems.
Affected Countries
Germany, France, United Kingdom, Italy, Spain, Netherlands, Belgium, Sweden
CVE-2022-43058: 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_activity.
AI-Powered Analysis
Technical Analysis
CVE-2022-43058 is a critical 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_activity. SQL injection (CWE-89) occurs when untrusted input is improperly sanitized and directly included in SQL queries, allowing an attacker to manipulate the database query. In this case, the 'id' parameter is vulnerable, enabling an unauthenticated remote attacker to execute arbitrary SQL commands against the backend database. The CVSS v3.1 base score of 9.8 reflects the severity: the attack vector is network-based (AV:N), requires no privileges (PR:N), no user interaction (UI:N), and impacts confidentiality, integrity, and availability (C:H/I:H/A:H) of the system. Exploitation could lead to unauthorized data disclosure, data modification, or complete system compromise. Although no known exploits are currently reported in the wild, the vulnerability's nature and ease of exploitation make it a significant threat. The absence of vendor or product-specific information and patch links suggests that the affected software may be niche or custom-built, potentially limiting widespread exposure but increasing risk for organizations using this system without mitigation. The vulnerability was published on November 9, 2022, and is recognized by CISA, indicating its relevance to cybersecurity stakeholders.
Potential Impact
For European organizations, especially healthcare providers or diagnostic laboratories using the Online Diagnostic Lab Management System, this vulnerability poses a severe risk. Exploitation could lead to unauthorized access to sensitive patient data, including medical records and diagnostic results, violating GDPR requirements for data protection and privacy. Data integrity could be compromised, leading to incorrect diagnostic information, which may affect patient care. Availability impacts could disrupt lab operations, delaying diagnostics and treatment. The critical severity and remote exploitability mean attackers can compromise systems without authentication or user interaction, increasing the likelihood of automated or targeted attacks. Additionally, healthcare infrastructure is a high-value target in Europe due to its critical role and regulatory environment, making exploitation potentially damaging both operationally and reputationally. Organizations failing to address this vulnerability risk regulatory penalties, loss of patient trust, and operational disruptions.
Mitigation Recommendations
Given the critical nature of this SQL injection vulnerability, European organizations should take immediate and specific actions: 1) Identify all instances of the Online Diagnostic Lab Management System v1.0 within their environment. 2) Implement input validation and parameterized queries or prepared statements in the affected 'id' parameter to prevent SQL injection. 3) If source code modification is not feasible, deploy Web Application Firewalls (WAFs) with custom rules to detect and block SQL injection attempts targeting the vulnerable endpoint. 4) Conduct thorough security testing, including automated and manual penetration testing focused on SQL injection vectors. 5) Monitor logs for suspicious database query patterns or repeated access attempts to /odlms//classes/Master.php. 6) Isolate or segment vulnerable systems to limit lateral movement if exploitation occurs. 7) Engage with software vendors or developers to obtain patches or updated versions addressing this vulnerability. 8) Educate IT and security teams about this specific vulnerability and ensure incident response plans include SQL injection attack scenarios. These targeted measures go beyond generic advice by focusing on the specific vulnerable parameter, endpoint, and the operational context of diagnostic lab systems.
Affected Countries
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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: 682d9839c4522896dcbecb7e
Added to database: 5/21/2025, 9:09:13 AM
Last enriched: 7/2/2025, 1:58:01 AM
Last updated: 8/9/2025, 12:52:00 AM
Views: 12
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