CVE-2023-27667 in Auto Dealer Management System
Summary
by MITRE • 04/13/2023
Auto Dealer Management System v1.0 was discovered to contain a SQL injection vulnerability.
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Analysis
by VulDB Data Team • 07/09/2026
The Auto Dealer Management System v1.0 suffers from a critical SQL injection vulnerability that represents a fundamental flaw in how user input is processed and integrated into database queries. This vulnerability falls under the category of CWE-89 SQL Injection, which occurs when an application fails to properly sanitize or escape user-supplied data before incorporating it into SQL command structures. The flaw exists in the system's handling of input parameters that are directly concatenated into database queries without adequate validation or parameterization mechanisms. Attackers can exploit this weakness by crafting malicious input that alters the intended logic of database operations, potentially gaining unauthorized access to sensitive information or manipulating database contents.
The operational impact of this vulnerability extends beyond simple data exposure, as it can enable attackers to execute arbitrary SQL commands against the underlying database system. This creates a pathway for privilege escalation, data theft, and potential system compromise that aligns with techniques described in the MITRE ATT&CK framework under the T1190 Exploit Public-Facing Application tactic. The vulnerability likely affects various input fields within the dealer management interface where user data is processed, including but not limited to search functions, login forms, or data entry points that interact with backend databases. Successful exploitation could result in unauthorized access to customer records, vehicle inventory data, financial information, and other sensitive business data that the system is designed to protect.
Mitigation strategies for this vulnerability must address both immediate remediation and long-term architectural improvements to prevent similar issues in the future. The most effective immediate solution involves implementing proper parameterized queries or prepared statements throughout the application codebase, ensuring that user input is never directly concatenated into SQL commands. Database access controls should be reviewed and hardened to limit the privileges of application accounts, following the principle of least privilege as recommended by cybersecurity frameworks. Additionally, input validation should be strengthened at multiple layers including application-level filtering, regular security code reviews, and implementation of web application firewalls to detect and block malicious SQL injection attempts. The system should also incorporate automated vulnerability scanning and regular penetration testing to identify and remediate similar weaknesses before they can be exploited by threat actors.