CVE-2022-44378: n/a in n/a
Automotive Shop Management System v1.0 is vulnerable to SQL via /asms/classes/Master.php?f=delete_mechanic.
AI Analysis
Technical Summary
CVE-2022-44378 is a high-severity SQL Injection vulnerability affecting Automotive Shop Management System version 1.0. The vulnerability exists in the endpoint /asms/classes/Master.php with the function parameter f=delete_mechanic. SQL Injection (CWE-89) occurs when untrusted input is improperly sanitized and directly used in SQL queries, allowing an attacker to manipulate the database query logic. In this case, the vulnerability allows an attacker with high privileges (PR:H) and network access (AV:N) to execute arbitrary SQL commands without requiring user interaction (UI:N). The CVSS 3.1 base score is 7.2, reflecting high impact on confidentiality, integrity, and availability (C:H/I:H/A:H). Exploitation could lead to unauthorized data disclosure, modification, or deletion of critical automotive shop management data such as mechanic records, customer information, or service histories. Although no known exploits are currently reported in the wild, the vulnerability’s presence in a management system used in automotive service environments poses a significant risk if exploited. The lack of vendor or product details limits the ability to identify specific affected deployments, but the vulnerability’s technical details confirm it is a classic SQL Injection flaw requiring immediate remediation.
Potential Impact
For European organizations operating automotive service centers or shops using this vulnerable Automotive Shop Management System, the impact could be severe. Compromise of mechanic and customer data could lead to privacy violations under GDPR, resulting in regulatory fines and reputational damage. Integrity loss could disrupt service operations, causing financial losses and customer dissatisfaction. Availability impact could halt business processes if the database is corrupted or deleted. Given the automotive sector’s critical role in European economies and supply chains, exploitation could also have downstream effects on vehicle maintenance and safety. Furthermore, attackers could leverage the access gained through SQL Injection to pivot into internal networks, increasing the risk of broader compromise. The high privilege requirement somewhat limits exposure but does not eliminate risk, especially if insider threats or credential compromise occur.
Mitigation Recommendations
Specific mitigation steps include: 1) Immediate code review and remediation of the vulnerable endpoint to implement parameterized queries or prepared statements, eliminating direct concatenation of user input in SQL commands. 2) Enforce strict input validation and sanitization on all parameters, especially those controlling database operations like delete_mechanic. 3) Implement role-based access control to restrict high-privilege operations and monitor for unusual activity. 4) Conduct thorough security testing including automated SQL Injection scanning and manual penetration testing focused on the Master.php functionality. 5) Deploy Web Application Firewalls (WAF) with SQL Injection detection rules as a temporary protective measure. 6) Monitor logs for suspicious database errors or anomalous queries. 7) Ensure regular backups of the database to enable recovery in case of data corruption or deletion. 8) Educate staff on credential security to prevent privilege escalation. Since no patch links are available, organizations should consider vendor engagement or source code fixes if possible.
Affected Countries
Germany, France, Italy, Spain, United Kingdom, Poland, Netherlands
CVE-2022-44378: n/a in n/a
Description
Automotive Shop Management System v1.0 is vulnerable to SQL via /asms/classes/Master.php?f=delete_mechanic.
AI-Powered Analysis
Technical Analysis
CVE-2022-44378 is a high-severity SQL Injection vulnerability affecting Automotive Shop Management System version 1.0. The vulnerability exists in the endpoint /asms/classes/Master.php with the function parameter f=delete_mechanic. SQL Injection (CWE-89) occurs when untrusted input is improperly sanitized and directly used in SQL queries, allowing an attacker to manipulate the database query logic. In this case, the vulnerability allows an attacker with high privileges (PR:H) and network access (AV:N) to execute arbitrary SQL commands without requiring user interaction (UI:N). The CVSS 3.1 base score is 7.2, reflecting high impact on confidentiality, integrity, and availability (C:H/I:H/A:H). Exploitation could lead to unauthorized data disclosure, modification, or deletion of critical automotive shop management data such as mechanic records, customer information, or service histories. Although no known exploits are currently reported in the wild, the vulnerability’s presence in a management system used in automotive service environments poses a significant risk if exploited. The lack of vendor or product details limits the ability to identify specific affected deployments, but the vulnerability’s technical details confirm it is a classic SQL Injection flaw requiring immediate remediation.
Potential Impact
For European organizations operating automotive service centers or shops using this vulnerable Automotive Shop Management System, the impact could be severe. Compromise of mechanic and customer data could lead to privacy violations under GDPR, resulting in regulatory fines and reputational damage. Integrity loss could disrupt service operations, causing financial losses and customer dissatisfaction. Availability impact could halt business processes if the database is corrupted or deleted. Given the automotive sector’s critical role in European economies and supply chains, exploitation could also have downstream effects on vehicle maintenance and safety. Furthermore, attackers could leverage the access gained through SQL Injection to pivot into internal networks, increasing the risk of broader compromise. The high privilege requirement somewhat limits exposure but does not eliminate risk, especially if insider threats or credential compromise occur.
Mitigation Recommendations
Specific mitigation steps include: 1) Immediate code review and remediation of the vulnerable endpoint to implement parameterized queries or prepared statements, eliminating direct concatenation of user input in SQL commands. 2) Enforce strict input validation and sanitization on all parameters, especially those controlling database operations like delete_mechanic. 3) Implement role-based access control to restrict high-privilege operations and monitor for unusual activity. 4) Conduct thorough security testing including automated SQL Injection scanning and manual penetration testing focused on the Master.php functionality. 5) Deploy Web Application Firewalls (WAF) with SQL Injection detection rules as a temporary protective measure. 6) Monitor logs for suspicious database errors or anomalous queries. 7) Ensure regular backups of the database to enable recovery in case of data corruption or deletion. 8) Educate staff on credential security to prevent privilege escalation. Since no patch links are available, organizations should consider vendor engagement or source code fixes if possible.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- mitre
- Date Reserved
- 2022-10-30T00:00:00.000Z
- Cisa Enriched
- true
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 682d983bc4522896dcbee28a
Added to database: 5/21/2025, 9:09:15 AM
Last enriched: 7/2/2025, 4:55:54 AM
Last updated: 8/16/2025, 12:49:04 AM
Views: 14
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