CVE-2024-24112 Scanner

The scanner checks for vulnerabilities in the Exrick XMall system, a widely used online commerce platform designed for managing inventory, orders, and customer relations. Exrick XMall is often utilized by businesses of varying sizes to streamline their e-commerce processes, offering features like multi-language support and customizable templates. The system enables online retailers to handle multiple sellers and buyers efficiently, making it a crucial tool for e-commerce operations. Given its role in handling sensitive financial information, security in XMall is a high priority for businesses relying on its framework to maintain operational integrity and customer trust. The platform is known for its scalability and ease of integration with third-party applications, further broadening its utility across diverse technical environments.

The vulnerability detected is a SQL Injection (SQLi), a prevalent and harmful code injection flaw that allows an attacker to interfere with the queries an application makes to its database. In the context of Exrick XMall, this vulnerability could permit an attacker to manipulate the SQL queries executed by the application, leading to unauthorized access or data manipulation. The exploitation of SQLi vulnerabilities can vary significantly in complexity, depending on the specific SQL dialect and database management system in use. Typically, these vulnerabilities arise when user inputs are improperly sanitized or validated before being passed to the query execution stage. Successful exploitation could lead to severe consequences, including data breaches and a complete system compromise.

The vulnerability in Exrick XMall is linked to the 'orderDir' parameter. This parameter is susceptible to SQL Injection because it does not adequately validate incoming data, allowing attackers to inject malicious SQL commands into the application's queries. This particular flaw could be exploited by appending SQL statements to user inputs, which could then be executed by the database. The detection focuses on observing error messages or unexpected behavior that are indicative of a successful SQL Injection attempt. By intercepting said indicators, the scanner confirms if the SQLi vulnerability is present, thereby preventing potential security breaches.

The exploitation of the SQL Injection vulnerability could lead to unauthorized data access, making confidential business information vulnerable. Attackers could potentially manipulate or delete critical database entries, causing disruption to business operations. Additionally, exploiting this flaw may allow attackers to escalate their privileges, granting them unauthorized access to sensitive areas of the application. In worst-case scenarios, full control over the server could be gained, leading to irreversible damage to the business's reputation and financial losses. Organizations must address such vulnerabilities promptly to mitigate associated risks.

REFERENCES

• https://github.com/Exrick/xmall/issues/78
• https://nvd.nist.gov/vuln/detail/CVE-2024-24112