CVE-2022-42064: n/a in n/a
Online Diagnostic Lab Management System version 1.0 remote exploit that bypasses login with SQL injection and then uploads a shell.
AI Analysis
Technical Summary
CVE-2022-42064 is a critical remote code execution vulnerability affecting an Online Diagnostic Lab Management System version 1.0. The vulnerability arises from an SQL injection flaw (CWE-89) that allows an unauthenticated attacker to bypass the login mechanism remotely. By exploiting this SQL injection, the attacker can gain unauthorized access to the system and subsequently upload a web shell, enabling full control over the affected server. The CVSS v3.1 base score of 9.8 reflects the high severity, with an attack vector that is network-based (AV:N), requires no privileges (PR:N), and no user interaction (UI:N). The impact spans confidentiality, integrity, and availability, as the attacker can exfiltrate sensitive data, modify or delete records, and disrupt system operations. The vulnerability is particularly dangerous because it allows complete system compromise without any authentication or user interaction, making it highly exploitable. No vendor or product details beyond the generic "Online Diagnostic Lab Management System version 1.0" are provided, and no patches or mitigations are currently linked, indicating either a lack of vendor response or limited public information. The vulnerability was published on October 14, 2022, and is recognized by MITRE and CISA, highlighting its significance in cybersecurity communities.
Potential Impact
For European organizations, especially healthcare providers and diagnostic laboratories using this or similar lab management systems, the impact could be severe. Successful exploitation could lead to unauthorized access to sensitive patient data, violating GDPR and other data protection regulations, potentially resulting in heavy fines and reputational damage. The ability to upload a shell and execute arbitrary commands could allow attackers to disrupt diagnostic services, affecting patient care and operational continuity. Additionally, compromised systems could be used as pivot points for broader network intrusions or ransomware deployment. Given the criticality and ease of exploitation, organizations face a high risk of data breaches, service outages, and regulatory non-compliance. The lack of available patches further exacerbates the risk, necessitating immediate defensive actions.
Mitigation Recommendations
Organizations should immediately audit their environments to identify any deployments of the affected Online Diagnostic Lab Management System version 1.0 or similar vulnerable products. In the absence of official patches, the following specific mitigations are recommended: 1) Implement Web Application Firewalls (WAFs) with custom rules to detect and block SQL injection payloads targeting login endpoints. 2) Conduct thorough input validation and parameterized queries in any custom or legacy code interfacing with the system to prevent injection attacks. 3) Restrict network access to the management system to trusted IP addresses and segments, minimizing exposure to the internet. 4) Monitor logs and network traffic for unusual activities such as unauthorized login attempts or file uploads indicative of shell deployment. 5) Employ intrusion detection/prevention systems (IDS/IPS) tuned to detect exploitation attempts of this CVE. 6) If possible, isolate the affected system in a segmented network zone to limit lateral movement. 7) Prepare incident response plans specific to web shell detection and removal. 8) Engage with vendors or community forums for any emerging patches or workarounds. These targeted actions go beyond generic advice by focusing on immediate containment and detection strategies tailored to the nature of this SQL injection and shell upload vulnerability.
Affected Countries
Germany, France, United Kingdom, Italy, Spain, Netherlands, Belgium, Sweden
CVE-2022-42064: n/a in n/a
Description
Online Diagnostic Lab Management System version 1.0 remote exploit that bypasses login with SQL injection and then uploads a shell.
AI-Powered Analysis
Technical Analysis
CVE-2022-42064 is a critical remote code execution vulnerability affecting an Online Diagnostic Lab Management System version 1.0. The vulnerability arises from an SQL injection flaw (CWE-89) that allows an unauthenticated attacker to bypass the login mechanism remotely. By exploiting this SQL injection, the attacker can gain unauthorized access to the system and subsequently upload a web shell, enabling full control over the affected server. The CVSS v3.1 base score of 9.8 reflects the high severity, with an attack vector that is network-based (AV:N), requires no privileges (PR:N), and no user interaction (UI:N). The impact spans confidentiality, integrity, and availability, as the attacker can exfiltrate sensitive data, modify or delete records, and disrupt system operations. The vulnerability is particularly dangerous because it allows complete system compromise without any authentication or user interaction, making it highly exploitable. No vendor or product details beyond the generic "Online Diagnostic Lab Management System version 1.0" are provided, and no patches or mitigations are currently linked, indicating either a lack of vendor response or limited public information. The vulnerability was published on October 14, 2022, and is recognized by MITRE and CISA, highlighting its significance in cybersecurity communities.
Potential Impact
For European organizations, especially healthcare providers and diagnostic laboratories using this or similar lab management systems, the impact could be severe. Successful exploitation could lead to unauthorized access to sensitive patient data, violating GDPR and other data protection regulations, potentially resulting in heavy fines and reputational damage. The ability to upload a shell and execute arbitrary commands could allow attackers to disrupt diagnostic services, affecting patient care and operational continuity. Additionally, compromised systems could be used as pivot points for broader network intrusions or ransomware deployment. Given the criticality and ease of exploitation, organizations face a high risk of data breaches, service outages, and regulatory non-compliance. The lack of available patches further exacerbates the risk, necessitating immediate defensive actions.
Mitigation Recommendations
Organizations should immediately audit their environments to identify any deployments of the affected Online Diagnostic Lab Management System version 1.0 or similar vulnerable products. In the absence of official patches, the following specific mitigations are recommended: 1) Implement Web Application Firewalls (WAFs) with custom rules to detect and block SQL injection payloads targeting login endpoints. 2) Conduct thorough input validation and parameterized queries in any custom or legacy code interfacing with the system to prevent injection attacks. 3) Restrict network access to the management system to trusted IP addresses and segments, minimizing exposure to the internet. 4) Monitor logs and network traffic for unusual activities such as unauthorized login attempts or file uploads indicative of shell deployment. 5) Employ intrusion detection/prevention systems (IDS/IPS) tuned to detect exploitation attempts of this CVE. 6) If possible, isolate the affected system in a segmented network zone to limit lateral movement. 7) Prepare incident response plans specific to web shell detection and removal. 8) Engage with vendors or community forums for any emerging patches or workarounds. These targeted actions go beyond generic advice by focusing on immediate containment and detection strategies tailored to the nature of this SQL injection and shell upload vulnerability.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- mitre
- Date Reserved
- 2022-10-03T00:00:00.000Z
- Cisa Enriched
- true
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 682cd0fb1484d88663aec97e
Added to database: 5/20/2025, 6:59:07 PM
Last enriched: 7/6/2025, 2:42:52 PM
Last updated: 8/14/2025, 8:38:23 PM
Views: 13
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