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high·Product Based Web Vulnerabilities·Updated Jun 26, 2025

Mallbuilder Mall System Shop Grade chk SQL Injection Scanner

Detects 'SQL Injection (SQLi)' vulnerability in Mallbuilder Mall System. This scan targets the shop admin shop grade module’s chk parameter to identify unsafe SQL handling that could expose or modify database data.

Est. Time~10 seconds
Scan TypeSingle Scan
Targetsurl
CostFree
2.6k
Times Used
continuous scan runs
6k
Continuously Checked
assets under CS
0
Vulnerabilities Found
confirmed findings
Detail

Mallbuilder Mall System is a multi-user online mall platform built with PHP and MySQL, designed to enable users to create powerful e-commerce platforms similar to JD.com, Tmall, or Yihaodian. It is widely used by enterprises aiming to create industry-specific, localized, or vertical online marketplaces. The platform supports enterprise-level features and allows the creation of multi-vendor e-commerce sites. Businesses leverage this system to develop scalable shopping solutions to handle a large number of transactions effectively. Users appreciate its flexibility and customization options which make it adaptable to various business models. The system facilitates seamless integration and management of various e-commerce functionalities.

The vulnerability detected in the Mallbuilder Mall System is an SQL Injection, specifically in the `'chk'` parameter of the `shop/admin/shop_grade` module. SQL Injection vulnerabilities occur when end-user inputs are not properly sanitized before being included in SQL queries executed against a database. This can result in attackers executing arbitrary SQL statements, thus manipulating the database. Such vulnerabilities can lead to unauthorized data access, manipulation, or deletion. Ensuring proper input validation and query structuring is essential to mitigate these risks. The discovery of an SQL Injection vulnerability can highlight areas needing immediate code reviews and security updates.

The technical details of this vulnerability involve the 'chk' parameter, which is exploited using the `POST` method on a specific path, allowing attackers to manipulate SQL queries with payloads such as `1) or updatexml(1,md5(123),1)#`. This exploitation results in a 200 status code and a specific body response containing a hashed value, indicating a successful injection attempt. The use of payloads like `updatexml` in this instance suggests vulnerabilities in how inputs are processed by the database. These SQL commands can potentially affect the database integrity and allow unauthorized data manipulation. Technical mitigation requires an understanding of SQL commands and proper input handling mechanisms.

The possible effects of this vulnerability include unauthorized viewing, modification, or deletion of data in the database. Attackers could potentially exploit this to exfiltrate sensitive information, disrupt data integrity, or perform other malicious activities. This could lead to significant data breaches, financial loss, and damage to reputation for organizations relying on this platform. Moreover, attackers could leverage this vulnerability to gain further access into the system and compromise additional resources. The exploitation of this vulnerability can severely impact business operations and customer trust.

REFERENCES

Solution Advice
  • Download and apply the latest patches or updated version from the official website.
  • Use prepared statements and parameterized queries to avoid SQL Injection.
  • Escape or encode special characters before they are passed to the database.
  • Enforce strict data type validation and length restrictions on inputs.
  • Maintain consistent character encoding across application layers.
  • Apply the principle of least privilege for database user permissions.
  • Prevent SQL error messages from being exposed on the frontend.
  • Filter out dangerous SQL keywords using regular expressions.

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