Mallbuilder Login key SQL Injection Scanner
Detects 'SQL Injection (SQLi)' vulnerability in Mallbuilder Mall System. This scan checks the login.php key parameter to determine if user input is improperly embedded into SQL queries.
Short Info
Level
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
4 days 11 hours
Scan only one
URL
Toolbox
Mallbuilder Mall System is a multi-user online mall solution, commonly used by businesses to create feature-rich online marketplaces similar to popular platforms like JD.com and Tmall. It is designed to support enterprise-level, industry-specific, and localized e-commerce requirements, providing a robust framework for vertical market applications. Users appreciate its PHP and MySQL foundation, which offers flexibility and efficiency for various customizations. E-commerce enterprises benefit from its ability to rapidly deploy functioning online marketplaces, enhancing their digital footprint and customer reach. The platform’s reliability makes it a choice tool for businesses seeking comprehensive online shopping solutions.
The SQL Injection vulnerability in the Mallbuilder Mall System, particularly concerning the 'key' parameter in the login.php file, poses a substantial risk. Attackers can manipulate SQL queries through this vulnerability, causing unauthorized actions within the database. This kind of vulnerability allows attackers to potentially retrieve sensitive data, interface with backend systems, and compromise data integrity. By injecting malicious SQL code, an attacker can access portions of the databases without the need for login credentials, leading to severe data breaches. The flaw lies in the insufficient validation of input data, which makes the system vulnerable to crafted SQL statements.
The vulnerability originates from the 'key' parameter in the login.php endpoint, which doesn't adequately sanitize user input. This lack of input validation allows attackers to inject arbitrary SQL commands that the system executes without verification. In technical terms, when a user inputs a string into the 'key' parameter, it is directly interpreted and used in SQL queries without filtration. This opens an avenue for exploits, particularly manipulating SQL to divulge hashes, combine queries to release data, or impact database contents adversely. An example payload for this injection includes using SQL syntax such as 'or updatexml(...)#', which showcases how the backend processes the unsanitized input.
If malicious actors exploit this vulnerability, it could lead to the unauthorized access and manipulation of sensitive data stored within the system’s databases. Potential outcomes include exposure of user credentials, corruption of critical data, unauthorized data transactions or deletion, and defacement of the web application. Long-term impacts might comprise loss of customer trust, legal implications due to data breaches, and considerable financial loss due to system recovery efforts. In severe instances, an entire takeover of the database could occur, compromising business operations completely.