Mallbuilder Product UComment id SQL Injection Scanner

Mallbuilder is a comprehensive multi-user online shopping mall solution, leveraged by enterprises to deploy robust e-commerce platforms similar to major names like JD.com and Tmall. It supports diverse, industry-specific, localized, and vertically integrated multi-user marketplaces, providing a flexible platform for both small and large-scale businesses. Built using PHP and MySQL, Mallbuilder facilitates the creation, management, and scaling of online shopping ecosystems. Its modular design allows for extensions and personalization, enabling businesses to meet specific trade and consumer needs. Primarily used by enterprises aiming to establish a formidable online presence, it stands out in its capacity to handle multiple vendors and large product catalogs efficiently. Mallbuilder aims to support businesses in achieving operational excellence, enhancing customer experience, and driving e-commerce growth.

The vulnerability detected in Mallbuilder is a classic SQL Injection within the 'id' parameter from the product/ucomment module. This type of vulnerability enables attackers to manipulate SQL queries, which can compromise database integrity. SQL Injection is a well-known attack vector where specially crafted SQL inputs can alter database queries to execute unauthorized actions. Malicious actors can leverage this weakness to read, modify, or delete sensitive data stored in the database. In severe scenarios, this can lead to full database compromise, potentially leaking customer data and transaction records. As databases are central to managing user information, safeguarding them against SQL Injection is critical for maintaining data privacy and integrity. Addressing this vulnerability is crucial for operators to prevent unauthorized data manipulation or breaches.

The SQL Injection vulnerability in Mallbuilder is characterized by its exploitation of the 'id' parameter within the product/ucomment endpoint. Attackers craft specific SQL payloads that manipulate the database query, such as employing functions like updatexml and md5, to achieve unintended behavior. The vulnerability allows injecting SQL commands through GET requests, directly influencing database operations. This endpoint, when manipulated, returns processed data verifying the presence of the vulnerability, evidenced by a selector for body content containing a known hash. The crafted payload targets specific areas of query execution to extract or manipulate data without authorized access, indicating a gap in input validation and query handling.

The successful exploitation of an SQL Injection can have far-reaching impacts, including data breaches, unauthorized data manipulation, and loss of data integrity. Attackers may gain full administrative control over the database, allowing them to alter data, execute administrative operations, or disclose all stored information, including sensitive consumer data. This could lead to a loss of consumer trust, legal consequences, and significant financial losses for affected businesses. Furthermore, compromised systems may be used as platforms for further attacks or as entry points for malware insertion, posing additional security risks. It is pivotal for businesses to quickly identify and mitigate such vulnerabilities to protect their data assets and maintain service reliability.

REFERENCES

• http://www.mall-builder.com/