CVE-2022-43163: 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 /clients/view_client.php.
AI Analysis
Technical Summary
CVE-2022-43163 is a high-severity SQL injection vulnerability identified in the Online Diagnostic Lab Management System version 1.0. The vulnerability exists in the 'id' parameter of the /clients/view_client.php endpoint. SQL injection (CWE-89) vulnerabilities occur 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, which likely means an attacker can inject malicious SQL code to alter the intended query behavior. The CVSS 3.1 base score is 7.2, indicating a high severity level. The vector string (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H) reveals that the attack can be performed remotely over the network (AV:N) with low attack complexity (AC:L), but requires high privileges (PR:H) and no user interaction (UI:N). The impact affects confidentiality, integrity, and availability (C:H/I:H/A:H), meaning an attacker with the required privileges can fully compromise the database, potentially extracting sensitive patient data, modifying records, or disrupting service. The scope is unchanged (S:U), so the impact is limited to the vulnerable component. No patches or vendor information are provided, and no known exploits are reported in the wild at this time. However, given the nature of SQL injection and the criticality of healthcare data managed by diagnostic lab systems, this vulnerability poses a significant risk if exploited.
Potential Impact
For European organizations, particularly healthcare providers and diagnostic laboratories using this Online Diagnostic Lab Management System, the impact could be severe. Exploitation could lead to unauthorized disclosure of sensitive patient information, violating GDPR and other data protection regulations, resulting in legal penalties and reputational damage. Integrity compromise could lead to falsified diagnostic results or patient records, potentially endangering patient safety. Availability impacts could disrupt lab operations, delaying diagnostics and treatment. Given the high privileges required, exploitation might be limited to insiders or attackers who have already gained elevated access, but insider threats or lateral movement by attackers could leverage this vulnerability to escalate impact. The lack of patches increases the urgency for mitigation. The healthcare sector in Europe is a prime target for cyberattacks due to the sensitivity of data and critical nature of services, making this vulnerability particularly concerning.
Mitigation Recommendations
1. Immediate mitigation should include restricting access to the vulnerable endpoint (/clients/view_client.php) to trusted and authenticated users only, enforcing strict access controls and monitoring for suspicious activity. 2. Conduct a thorough code review and implement parameterized queries or prepared statements to sanitize the 'id' parameter and prevent SQL injection. 3. If vendor patches become available, apply them promptly. 4. Implement Web Application Firewalls (WAFs) with SQL injection detection rules tailored to this specific endpoint to block exploitation attempts. 5. Increase logging and monitoring around database queries and application access to detect anomalous behavior indicative of injection attempts. 6. Conduct internal security awareness training focusing on privilege management and insider threat mitigation, since high privileges are required for exploitation. 7. Consider network segmentation to isolate the lab management system from broader enterprise networks to limit lateral movement. 8. Regularly audit and review user privileges to ensure the principle of least privilege is enforced. 9. If possible, deploy runtime application self-protection (RASP) technologies to detect and block injection attacks in real time.
Affected Countries
Germany, France, United Kingdom, Italy, Spain, Netherlands, Belgium, Sweden, Poland
CVE-2022-43163: 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 /clients/view_client.php.
AI-Powered Analysis
Technical Analysis
CVE-2022-43163 is a high-severity SQL injection vulnerability identified in the Online Diagnostic Lab Management System version 1.0. The vulnerability exists in the 'id' parameter of the /clients/view_client.php endpoint. SQL injection (CWE-89) vulnerabilities occur 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, which likely means an attacker can inject malicious SQL code to alter the intended query behavior. The CVSS 3.1 base score is 7.2, indicating a high severity level. The vector string (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H) reveals that the attack can be performed remotely over the network (AV:N) with low attack complexity (AC:L), but requires high privileges (PR:H) and no user interaction (UI:N). The impact affects confidentiality, integrity, and availability (C:H/I:H/A:H), meaning an attacker with the required privileges can fully compromise the database, potentially extracting sensitive patient data, modifying records, or disrupting service. The scope is unchanged (S:U), so the impact is limited to the vulnerable component. No patches or vendor information are provided, and no known exploits are reported in the wild at this time. However, given the nature of SQL injection and the criticality of healthcare data managed by diagnostic lab systems, this vulnerability poses a significant risk if exploited.
Potential Impact
For European organizations, particularly healthcare providers and diagnostic laboratories using this Online Diagnostic Lab Management System, the impact could be severe. Exploitation could lead to unauthorized disclosure of sensitive patient information, violating GDPR and other data protection regulations, resulting in legal penalties and reputational damage. Integrity compromise could lead to falsified diagnostic results or patient records, potentially endangering patient safety. Availability impacts could disrupt lab operations, delaying diagnostics and treatment. Given the high privileges required, exploitation might be limited to insiders or attackers who have already gained elevated access, but insider threats or lateral movement by attackers could leverage this vulnerability to escalate impact. The lack of patches increases the urgency for mitigation. The healthcare sector in Europe is a prime target for cyberattacks due to the sensitivity of data and critical nature of services, making this vulnerability particularly concerning.
Mitigation Recommendations
1. Immediate mitigation should include restricting access to the vulnerable endpoint (/clients/view_client.php) to trusted and authenticated users only, enforcing strict access controls and monitoring for suspicious activity. 2. Conduct a thorough code review and implement parameterized queries or prepared statements to sanitize the 'id' parameter and prevent SQL injection. 3. If vendor patches become available, apply them promptly. 4. Implement Web Application Firewalls (WAFs) with SQL injection detection rules tailored to this specific endpoint to block exploitation attempts. 5. Increase logging and monitoring around database queries and application access to detect anomalous behavior indicative of injection attempts. 6. Conduct internal security awareness training focusing on privilege management and insider threat mitigation, since high privileges are required for exploitation. 7. Consider network segmentation to isolate the lab management system from broader enterprise networks to limit lateral movement. 8. Regularly audit and review user privileges to ensure the principle of least privilege is enforced. 9. If possible, deploy runtime application self-protection (RASP) technologies to detect and block injection attacks in real time.
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: 682d983cc4522896dcbeed05
Added to database: 5/21/2025, 9:09:16 AM
Last enriched: 6/22/2025, 11:22:22 AM
Last updated: 8/12/2025, 2:58:41 AM
Views: 9
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