CVE-2022-43063: 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 /classes/Users.php?f=delete_client.
AI Analysis
Technical Summary
CVE-2022-43063 is a high-severity SQL injection vulnerability identified in the Online Diagnostic Lab Management System version 1.0. The vulnerability exists in the 'delete_client' function accessed via the 'id' parameter in the /classes/Users.php script. SQL injection (CWE-89) allows an attacker to manipulate backend SQL queries by injecting malicious input through the vulnerable parameter. This can lead to unauthorized access, data leakage, data modification, or deletion of critical information within the diagnostic lab management system's database. The vulnerability has a CVSS 3.1 base score of 7.2, indicating a high impact with network attack vector (AV:N), low attack complexity (AC:L), but requiring high privileges (PR:H) and no user interaction (UI:N). The scope is unchanged (S:U), and the impact affects confidentiality, integrity, and availability (C:H/I:H/A:H). Although no known public exploits are reported, the vulnerability poses a significant risk due to the sensitive nature of medical diagnostic data managed by such systems. The lack of vendor or product details limits precise attribution, but the vulnerability affects a specialized healthcare management application, which typically stores patient records, test results, and client information. Exploitation could lead to exposure or manipulation of sensitive health data, impacting patient privacy and healthcare operations.
Potential Impact
For European organizations, particularly healthcare providers and diagnostic laboratories, this vulnerability represents a critical threat to patient data confidentiality and the integrity of diagnostic processes. Exploitation could result in unauthorized disclosure of sensitive personal health information, violating GDPR and other data protection regulations, leading to legal and financial penalties. Additionally, data integrity compromise could cause incorrect diagnostic results, impacting patient care quality and safety. Availability impacts could disrupt lab operations, delaying critical medical testing and treatment. Given the increasing digitization of healthcare services across Europe, such vulnerabilities could undermine trust in healthcare IT systems and cause reputational damage. The high privileges required for exploitation suggest insider threats or compromised accounts could be leveraged, emphasizing the need for strict access controls and monitoring within healthcare environments.
Mitigation Recommendations
1. Immediate code review and remediation of the SQL injection vulnerability by implementing parameterized queries or prepared statements in the 'delete_client' function to sanitize the 'id' parameter input. 2. Conduct comprehensive security testing, including static and dynamic analysis, to identify and fix similar injection flaws throughout the application. 3. Enforce the principle of least privilege by restricting database and application user permissions to only what is necessary, minimizing the impact of compromised credentials. 4. Implement robust logging and monitoring to detect anomalous database queries or unauthorized deletion attempts, enabling rapid incident response. 5. Apply network segmentation and access controls to limit exposure of the diagnostic lab management system to trusted internal networks only. 6. Educate and train staff on secure coding practices and the risks of SQL injection, especially developers and system administrators managing healthcare applications. 7. Regularly update and patch all components of the healthcare IT infrastructure and maintain an inventory of software versions to ensure timely vulnerability management. 8. Consider deploying Web Application Firewalls (WAFs) with SQL injection detection capabilities as an additional protective layer.
Affected Countries
Germany, France, United Kingdom, Italy, Spain, Netherlands, Belgium, Sweden
CVE-2022-43063: 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 /classes/Users.php?f=delete_client.
AI-Powered Analysis
Technical Analysis
CVE-2022-43063 is a high-severity SQL injection vulnerability identified in the Online Diagnostic Lab Management System version 1.0. The vulnerability exists in the 'delete_client' function accessed via the 'id' parameter in the /classes/Users.php script. SQL injection (CWE-89) allows an attacker to manipulate backend SQL queries by injecting malicious input through the vulnerable parameter. This can lead to unauthorized access, data leakage, data modification, or deletion of critical information within the diagnostic lab management system's database. The vulnerability has a CVSS 3.1 base score of 7.2, indicating a high impact with network attack vector (AV:N), low attack complexity (AC:L), but requiring high privileges (PR:H) and no user interaction (UI:N). The scope is unchanged (S:U), and the impact affects confidentiality, integrity, and availability (C:H/I:H/A:H). Although no known public exploits are reported, the vulnerability poses a significant risk due to the sensitive nature of medical diagnostic data managed by such systems. The lack of vendor or product details limits precise attribution, but the vulnerability affects a specialized healthcare management application, which typically stores patient records, test results, and client information. Exploitation could lead to exposure or manipulation of sensitive health data, impacting patient privacy and healthcare operations.
Potential Impact
For European organizations, particularly healthcare providers and diagnostic laboratories, this vulnerability represents a critical threat to patient data confidentiality and the integrity of diagnostic processes. Exploitation could result in unauthorized disclosure of sensitive personal health information, violating GDPR and other data protection regulations, leading to legal and financial penalties. Additionally, data integrity compromise could cause incorrect diagnostic results, impacting patient care quality and safety. Availability impacts could disrupt lab operations, delaying critical medical testing and treatment. Given the increasing digitization of healthcare services across Europe, such vulnerabilities could undermine trust in healthcare IT systems and cause reputational damage. The high privileges required for exploitation suggest insider threats or compromised accounts could be leveraged, emphasizing the need for strict access controls and monitoring within healthcare environments.
Mitigation Recommendations
1. Immediate code review and remediation of the SQL injection vulnerability by implementing parameterized queries or prepared statements in the 'delete_client' function to sanitize the 'id' parameter input. 2. Conduct comprehensive security testing, including static and dynamic analysis, to identify and fix similar injection flaws throughout the application. 3. Enforce the principle of least privilege by restricting database and application user permissions to only what is necessary, minimizing the impact of compromised credentials. 4. Implement robust logging and monitoring to detect anomalous database queries or unauthorized deletion attempts, enabling rapid incident response. 5. Apply network segmentation and access controls to limit exposure of the diagnostic lab management system to trusted internal networks only. 6. Educate and train staff on secure coding practices and the risks of SQL injection, especially developers and system administrators managing healthcare applications. 7. Regularly update and patch all components of the healthcare IT infrastructure and maintain an inventory of software versions to ensure timely vulnerability management. 8. Consider deploying Web Application Firewalls (WAFs) with SQL injection detection capabilities as an additional protective layer.
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: 682d981fc4522896dcbdcc17
Added to database: 5/21/2025, 9:08:47 AM
Last enriched: 7/3/2025, 1:59:24 PM
Last updated: 8/4/2025, 12:35:55 PM
Views: 10
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