Mallbuilder SMS Notice Template type SQL Injection Scanner
Detects 'SQL Injection (SQLi)' vulnerability in Mallbuilder Mall System. Audits /sms/admin/notice_template for weaknesses in the type parameter that may expose or corrupt messaging templates.
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 a comprehensive multi-user online shopping mall solution based on PHP and MySQL. It facilitates the creation and deployment of scalable e-commerce platforms similar to JD.com, Tmall, and Yihaodian. The system supports enterprise-level, industry-specific, localized, and vertical marketplaces, making it a versatile solution for varied business needs. Its robust architecture enables businesses to quickly launch an online marketplace, maximizing reach and enabling business partners to connect within a unified platform. The platform is particularly beneficial for enterprises looking to establish an online presence with customizable shopping experiences.
SQL Injection (SQLi) is a critical vulnerability that allows attackers to interfere with the queries that an application makes to its database. By manipulating the 'type' parameter in the sms/admin/notice_template module, attackers can inject malicious SQL queries into the database. This type of vulnerability can lead to unauthorized access to sensitive data, data manipulation, and even complete control of the application. Such vulnerabilities are often exploited due to poor coding practices that allow untrusted data to be concatenated into SQL statements directly.
The vulnerability in the Mallbuilder system exists in the 'type' parameter of the endpoint /?m=sms&s=admin/notice_template&type=. This particular parameter is susceptible to SQL Injection due to improper validation and sanitation of user inputs. By leveraging this flaw, an attacker can manipulate database queries, revealing confidential information or altering the database. This makes it crucial for parameters to undergo stringent checks before they interact with SQL queries. Security measures such as prepared statements and parameterized queries are essential in preventing SQLi attacks.
Exploiting this SQL Injection vulnerability can lead to severe consequences, including unauthorized data access, data corruption, and potentially the command and control of the underlying database. It could allow attackers to circumvent authentication and authorization protocols, leading to compromised confidentiality, integrity, and availability of data. Businesses may suffer from data breaches, resulting in financial loss and damage to reputation due to compromised customer information.
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