Mallbuilder Product and Shop Modules SQL Injection Scanner
Detects 'SQL Injection (SQLi)' vulnerability in Mallbuilder Mall System. Checks multiple parameters across product list and shop views (key, ptype, province) for injection paths enabling unauthorized database access.
Short Info
Level
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
5 days 9 hours
Scan only one
URL
Toolbox
Mallbuilder is an online mall solution that is widely used for creating e-commerce platforms. Developed using PHP and MySQL, it allows users to set up powerful online stores quickly. It is designed to cater to various market needs, providing flexibility for enterprise-grade and localized marketplaces. The solution is akin to popular e-commerce platforms like JD.com and Tmall, with features that support diverse market segments. Mallbuilder is utilized by businesses aiming to expand their reach through digital retail spaces.
The SQL Injection vulnerability within Mallbuilder's product and shop modules allows attackers to manipulate SQL queries. By injecting malicious code into input fields, threat actors can access underlying databases. This vulnerability makes it possible for unauthorized users to execute unintended commands. SQL Injection vulnerabilities are critical as they can lead to significant data breaches. The exploitation of such vulnerabilities can undermine platform security, potentially leading to data theft or manipulation.
Technically, this vulnerability occurs when input fields fail to sanitize user-provided data. Attackers can leverage these fields to insert or alter SQL queries executed by the application. Endpoints such as '/?m=product&s=list&key=' are susceptible to injections. Specific parameters like 'key' and 'ptype' in HTTP GET requests can be manipulated to execute arbitrary SQL code. The vulnerability primarily affects parameters used in constructing SQL statements without proper validation.
If exploited, this SQL Injection vulnerability could allow attackers to view, modify, or delete data within the Mallbuilder database. Attackers might gain unauthorized access to sensitive information, leading to potential data breaches. The integrity of the database could be compromised, resulting in data corruption or loss. Such exploitation might also lead to further attacks, where attackers leverage gained access to extend attacks within the network. Additionally, the company's reputation could be seriously affected by such breaches.
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