CVE-2004-0300 in Store Kit
Summary
by MITRE
SQL injection vulnerability in Online Store Kit 3.0 allows remote attackers to inject arbitrary SQL and gain unauthorized access via (1) the cat parameter in shop.php, (2) the id parameter in more.php, (3) the cat_manufacturer parameter in shop_by_brand.php, or (4) the id parameter in listing.php.
If you want to get best quality of vulnerability data, you may have to visit VulDB.
Analysis
by VulDB Data Team • 03/07/2025
This vulnerability represents a critical sql injection flaw in Online Store Kit 3.0, a web-based e-commerce platform that allows remote attackers to execute arbitrary sql commands through multiple entry points. The vulnerability stems from inadequate input validation and sanitization mechanisms within the application's php scripts, specifically targeting parameters used in database queries. The affected parameters include cat in shop.php, id in more.php, cat_manufacturer in shop_by_brand.php, and id in listing.php, all of which are directly incorporated into sql statements without proper escaping or parameterization. This vulnerability aligns with common weakness enumeration cwes 89 and 77, representing classic sql injection vulnerabilities that permit attackers to manipulate database queries and potentially gain unauthorized access to sensitive data.
The operational impact of this vulnerability is severe and multifaceted, as it enables attackers to bypass authentication mechanisms, extract confidential customer information, modify database records, and potentially escalate privileges within the application. Attackers can exploit these entry points to perform unauthorized data access operations such as reading user credentials, customer details, product inventories, and financial information. The vulnerability's remote nature means that attackers do not require physical access to the system and can exploit it from anywhere on the internet. This flaw directly maps to attack technique t1071.005 in the attack framework, which covers application layer protocol manipulation, and represents a significant risk to data integrity and confidentiality within the e-commerce platform.
Mitigation strategies for this vulnerability require immediate implementation of input validation and parameterized queries throughout the affected application components. The most effective approach involves implementing proper sql parameterization techniques, which ensure that user input is treated as data rather than executable code. Additionally, input sanitization measures should be deployed to filter and validate all parameters received from user input sources. The application should implement proper access controls and authentication mechanisms to limit unauthorized access to database resources. Security patches should be applied immediately to address the root cause, and the application should be configured with least privilege principles to minimize potential damage from successful exploitation attempts. Regular security assessments and code reviews should be conducted to identify and remediate similar vulnerabilities throughout the application codebase, following established security development lifecycle practices.