S4E

Mallbuilder Mall System SQL Injection (SQLi) Scanner

Detects 'SQL Injection (SQLi)' vulnerability in Mallbuilder Mall System.

Short Info


Level

High

Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

10 seconds

Time Interval

5 days 1 hour

Scan only one

URL

Toolbox

Mallbuilder Mall System is a multi-user online mall solution developed using PHP and MySQL, widely utilized for creating e-commerce platforms akin to large-scale marketplaces like JD.com and Tmall. Its robust framework supports enterprise-level, industry-specific, and local commerce, appealing to a diverse range of market segments. Designed for rapid deployment, it facilitates setting up rich-featured e-commerce environments, empowering businesses to cater to various specialized markets. The system enables diverse users to maintain their e-commerce presence, ensuring adaptability to evolving commercial landscapes. As an influential tool, it allows crafting personalized, highly scalable, and efficient online market spaces for different business requirements.

SQL Injection is a prevalent vulnerability that allows attackers to interfere with the queries a web application makes to its database. It primarily occurs when user input is improperly sanitized and materializes into a severe threat by allowing attackers to view, modify, or delete database entries. Through the exploitation of SQL injection, unauthorized visitors can escalate privileges, retrieve data from the database, and even execute administrative operations. It's notably dangerous due to its potential for causing significant harm, including data exfiltration and application compromise. Addressing SQL injection requires diligent input validation, proper coding practices, and securing the database at various tiers.

The vulnerability exists in the 'username' parameter of admin/user_read_rec.php, which can be exploited via crafted SQL queries. When inputs are not appropriately sanitized, attackers can insert malicious SQL code, leading to potentially unauthorized data modifications. This flaw can be probed with specific payloads intended to manipulate the database query execution. Hence, methods to exploit include inserting specific SQL commands, leveraging them to extract or alter critical internal data, or executing these commands to trigger predefined operations. Exposure to such vulnerabilities mandates immediate rectification through secure coding and database practices.

Exploiting this vulnerability could result in unauthorized access to sensitive data, allowing attackers to view or edit information databases can host. This might lead to leaking personal user details, corrupting or deleting essential business data, and potentially leading to further system exploitations. Users could potentially endanger the system's integrity, resulting in both financial losses and loss of user trust. Proactive measures are crucial to prevent such outcomes, ensuring database controls are met and robust sanitation measures put into place. Failure to address this could compromise system operations and data confidentiality.

REFERENCES

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