CVE-2022-30401 in Merchandise Online Store
Summary
by MITRE • 05/13/2022
Merchandise Online Store v1.0 is vulnerable to SQL Injection via /vloggers_merch/?p=view_product&id=.
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Analysis
by VulDB Data Team • 05/16/2022
The vulnerability identified as CVE-2022-30401 affects Merchandise Online Store version 1.0 and represents a critical SQL injection flaw that could enable attackers to execute arbitrary database commands. This vulnerability exists within the product viewing functionality of the web application, specifically through the parameterized URL endpoint /vloggers_merch/?p=view_product&id=. The flaw allows malicious actors to manipulate the database queries by injecting SQL commands through the id parameter, potentially leading to unauthorized data access, modification, or deletion.
This SQL injection vulnerability falls under the Common Weakness Enumeration category CWE-89, which specifically addresses improper neutralization of special elements used in SQL commands. The attack vector exploits the lack of proper input validation and sanitization mechanisms within the application's parameter handling. When the application processes the id parameter without adequate escaping or parameterization, it becomes susceptible to malicious SQL code injection that can bypass authentication mechanisms and access sensitive database information.
The operational impact of this vulnerability extends beyond simple data theft, as it can enable attackers to escalate privileges and gain deeper system access. An attacker could potentially extract customer information, product catalogs, administrative credentials, or other sensitive data stored within the database. The vulnerability also poses risks to data integrity and availability, as malicious actors could modify or delete database records, disrupt service operations, and potentially establish persistent access points within the application environment.
Mitigation strategies for this vulnerability should focus on implementing proper input validation and parameterized queries throughout the application codebase. The recommended approach involves using prepared statements with parameterized queries to ensure that user input cannot be interpreted as SQL commands. Additionally, implementing proper input sanitization, output encoding, and least privilege access controls would significantly reduce the attack surface. Network segmentation and web application firewalls can provide additional layers of protection, while regular security testing and code reviews should be conducted to identify and remediate similar vulnerabilities. The ATT&CK framework categorizes this type of vulnerability under T1190 - Exploit Public-Facing Application, highlighting the need for comprehensive application security measures and continuous monitoring of exposed services.