Mallbuilder Product Comment id SQL Injection Scanner

Mallbuilder Mall System is a comprehensive platform designed for building multi-user online malls, similar to well-known e-commerce sites like JD.com and Tmall. It is widely used by enterprises looking to establish industry-specific, localized e-commerce systems in a robust PHP+MYSQL environment. The system supports rapid deployment and customization to fit diverse business models and is equipped with various modules, including product management, customer interaction, and sales analytics. Entrepreneurs and small to medium businesses often select this platform due to its scalability, user-friendly interface, and cost-effectiveness, allowing them to compete effectively in the online retail space. The versatility of Mallbuilder ensures that it can cater to specialized verticals, with features that support high-volume transactions and broad inventory management capabilities.

The vulnerability in question is an SQL Injection (SQLi) flaw found in the 'id' parameter of the product/comment module. SQL Injection is a critical vulnerability that allows attackers to interfere with the queries an application makes to its database. It typically allows attackers to view sensitive data that they are not normally able to retrieve, such as other users' data, or combine multiple sets of results into one. Depending on the backend database, SQL Injection can potentially allow attackers to issue commands to the operating system.

The SQL Injection vulnerability in the Mallbuilder Mall System is specifically located in the 'id' parameter within the product/comment module. Attackers can exploit this by crafting SQL statements that manipulate the database through the affected parameter. For instance, a malicious input could allow unauthorized viewing of information or modifications to the database. This is due to improper handling of input and lack of parameterized queries, leaving the system open to crafted injections that manipulate backend queries.

Exploitation of the SQL Injection vulnerability can have severe consequences, including unauthorized data access, data loss, data corruption, denial of access, and potentially obtaining administrative privileges on the database. Attackers can extract sensitive information from the backend database or manipulate it to serve their purposes, leading to a loss of data integrity and confidentiality. Additionally, successful exploitation can damage the trust of stakeholders and customers, leading to reputational loss and financial ramifications.

REFERENCES

• http://www.mall-builder.com/