CVE-2022-44858: n/a in n/a
Automotive Shop Management System v1.0 was discovered to contain a SQL injection vulnerability via the id parameter at /asms/products/view_product.php.
AI Analysis
Technical Summary
CVE-2022-44858 is a high-severity SQL injection vulnerability identified in the Automotive Shop Management System (ASMS) version 1.0. The vulnerability exists in the 'id' parameter of the /asms/products/view_product.php endpoint. SQL injection (CWE-89) occurs when untrusted input is improperly sanitized and directly incorporated into SQL queries, allowing an attacker to manipulate the database query structure. In this case, the 'id' parameter is vulnerable, enabling an attacker with high privileges (PR:H) to execute arbitrary SQL commands remotely (AV:N) without requiring user interaction (UI:N). The vulnerability affects confidentiality, integrity, and availability (C:H/I:H/A:H) of the underlying database and potentially the entire system. Exploitation could lead to unauthorized data disclosure, data modification, or deletion, and possibly full system compromise if the database is critical to application logic. The CVSS 3.1 base score is 7.2, reflecting the ease of network exploitation with low attack complexity but requiring high privileges, and the significant impact on system security. No patches or vendor information are currently available, and no known exploits have been reported in the wild. The vulnerability was published on November 25, 2022, and is recognized by CISA, indicating its relevance for cybersecurity monitoring and response.
Potential Impact
For European organizations, particularly those in the automotive repair and service industry using the Automotive Shop Management System v1.0, this vulnerability poses a significant risk. Exploitation could lead to unauthorized access to sensitive customer data, including personal and vehicle information, potentially violating GDPR regulations. Data integrity could be compromised, affecting billing, inventory, and service records, which may disrupt business operations and damage reputation. Availability impacts could result in downtime of critical management systems, leading to operational delays and financial losses. Given the interconnected nature of automotive supply chains in Europe, a successful attack could have cascading effects on related businesses. The requirement for high privileges to exploit the vulnerability suggests that insider threats or compromised accounts are the most likely attack vectors, emphasizing the need for strong internal access controls. The absence of known exploits reduces immediate risk but does not eliminate the threat, as attackers may develop exploits over time.
Mitigation Recommendations
1. Implement strict input validation and parameterized queries (prepared statements) to prevent SQL injection in the 'id' parameter and all other user inputs. 2. Conduct a thorough code review and security audit of the entire ASMS application to identify and remediate similar vulnerabilities. 3. Enforce the principle of least privilege by restricting database and application user permissions to the minimum necessary, reducing the impact of compromised accounts. 4. Monitor database logs and application logs for unusual query patterns or access attempts indicative of SQL injection attempts. 5. Deploy Web Application Firewalls (WAFs) with rules specifically tuned to detect and block SQL injection payloads targeting the ASMS endpoints. 6. Establish robust internal access controls and multi-factor authentication to prevent unauthorized privilege escalation. 7. Since no official patches are available, consider isolating the vulnerable system from critical networks and sensitive data until a vendor fix or workaround is provided. 8. Regularly back up databases and verify backup integrity to enable recovery in case of data tampering or loss. 9. Engage with the vendor or community for updates and potential patches, and plan for timely application of fixes once available.
Affected Countries
Germany, France, Italy, Spain, United Kingdom, Poland, Netherlands, Belgium, Czech Republic, Sweden
CVE-2022-44858: n/a in n/a
Description
Automotive Shop Management System v1.0 was discovered to contain a SQL injection vulnerability via the id parameter at /asms/products/view_product.php.
AI-Powered Analysis
Technical Analysis
CVE-2022-44858 is a high-severity SQL injection vulnerability identified in the Automotive Shop Management System (ASMS) version 1.0. The vulnerability exists in the 'id' parameter of the /asms/products/view_product.php endpoint. SQL injection (CWE-89) occurs when untrusted input is improperly sanitized and directly incorporated into SQL queries, allowing an attacker to manipulate the database query structure. In this case, the 'id' parameter is vulnerable, enabling an attacker with high privileges (PR:H) to execute arbitrary SQL commands remotely (AV:N) without requiring user interaction (UI:N). The vulnerability affects confidentiality, integrity, and availability (C:H/I:H/A:H) of the underlying database and potentially the entire system. Exploitation could lead to unauthorized data disclosure, data modification, or deletion, and possibly full system compromise if the database is critical to application logic. The CVSS 3.1 base score is 7.2, reflecting the ease of network exploitation with low attack complexity but requiring high privileges, and the significant impact on system security. No patches or vendor information are currently available, and no known exploits have been reported in the wild. The vulnerability was published on November 25, 2022, and is recognized by CISA, indicating its relevance for cybersecurity monitoring and response.
Potential Impact
For European organizations, particularly those in the automotive repair and service industry using the Automotive Shop Management System v1.0, this vulnerability poses a significant risk. Exploitation could lead to unauthorized access to sensitive customer data, including personal and vehicle information, potentially violating GDPR regulations. Data integrity could be compromised, affecting billing, inventory, and service records, which may disrupt business operations and damage reputation. Availability impacts could result in downtime of critical management systems, leading to operational delays and financial losses. Given the interconnected nature of automotive supply chains in Europe, a successful attack could have cascading effects on related businesses. The requirement for high privileges to exploit the vulnerability suggests that insider threats or compromised accounts are the most likely attack vectors, emphasizing the need for strong internal access controls. The absence of known exploits reduces immediate risk but does not eliminate the threat, as attackers may develop exploits over time.
Mitigation Recommendations
1. Implement strict input validation and parameterized queries (prepared statements) to prevent SQL injection in the 'id' parameter and all other user inputs. 2. Conduct a thorough code review and security audit of the entire ASMS application to identify and remediate similar vulnerabilities. 3. Enforce the principle of least privilege by restricting database and application user permissions to the minimum necessary, reducing the impact of compromised accounts. 4. Monitor database logs and application logs for unusual query patterns or access attempts indicative of SQL injection attempts. 5. Deploy Web Application Firewalls (WAFs) with rules specifically tuned to detect and block SQL injection payloads targeting the ASMS endpoints. 6. Establish robust internal access controls and multi-factor authentication to prevent unauthorized privilege escalation. 7. Since no official patches are available, consider isolating the vulnerable system from critical networks and sensitive data until a vendor fix or workaround is provided. 8. Regularly back up databases and verify backup integrity to enable recovery in case of data tampering or loss. 9. Engage with the vendor or community for updates and potential patches, and plan for timely application of fixes once available.
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- mitre
- Date Reserved
- 2022-11-07T00:00:00.000Z
- Cisa Enriched
- true
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 682d983cc4522896dcbeeeaa
Added to database: 5/21/2025, 9:09:16 AM
Last enriched: 6/22/2025, 10:36:03 AM
Last updated: 8/12/2025, 7:43:57 AM
Views: 12
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