CVE-2024-58393 in Readymade Unilevel Ecommerce MLM
Summary
by MITRE • 10/22/2026
i-Netsolution Readymade Unilevel Ecommerce MLM (2024-03-15 build) contains an SQL injection vulnerability that allows unauthenticated attackers to manipulate database queries through the 'id' parameter. Attackers can send GET requests to /product-details.php with boolean-based, stacked, or time-based SLEEP payloads in 'id' to extract database information. Exploitation evidence was first observed by the Shadowserver Foundation on 2024-09-14.
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Analysis
by VulDB Data Team • 10/22/2026
The vulnerability identified within i-Netsolution Readymade Unilevel Ecommerce MLM, specifically affecting builds dated around March 15, 2024, represents a critical security flaw rooted in improper input validation and sanitization of user-supplied data. This software is designed to facilitate multi-level marketing operations through an e-commerce platform, handling sensitive business logic and customer data. The core technical deficiency lies in the application's processing of the 'id' parameter within product detail requests. When a client sends a GET request to the /product-details.php endpoint with this parameter, the backend script fails to adequately sanitize or type-check the input before incorporating it into SQL database queries. This lack of robust validation allows an unauthenticated attacker to inject malicious SQL code directly into the query structure, bypassing any intended logical constraints on data retrieval.
From a technical perspective, this flaw is classified as an SQL Injection vulnerability, which corresponds to CWE-89 in the Common Weakness Enumeration standard. The absence of prepared statements or parameterized queries means that user input is treated as executable code by the database engine rather than as literal data values. This architectural oversight enables attackers to manipulate the structure of the underlying SQL commands. By injecting boolean-based payloads, an attacker can deduce information about the database schema based on whether a query returns true or false results. Alternatively, stacked queries allow for the execution of multiple distinct SQL statements in a single request, potentially leading to data modification or deletion beyond mere extraction. Time-based blind injection techniques using SLEEP functions further enable attackers to infer database contents by measuring response delays caused by injected conditional logic, even when direct output is not visible on the application interface.
The operational impact of this vulnerability is severe due to its unauthenticated nature and broad scope. Since no authentication is required to exploit the flaw via GET requests, any internet user with basic knowledge of SQL injection techniques can target the system. The primary consequence is unauthorized access to sensitive database information, which may include customer personal identifiable information, payment details, login credentials for administrative accounts, or proprietary business data related to MLM structures and commissions. Such exposure violates fundamental principles of confidentiality and integrity defined in industry security frameworks. Furthermore, if stacked queries are successfully executed, the attacker could potentially compromise the underlying server by executing operating system commands through database-specific features like xp_cmdshell on Microsoft SQL Server, leading to a complete system takeover.
Detection efforts have been actively monitored by external threat intelligence organizations such as the Shadowserver Foundation, which first observed exploitation attempts in the wild starting September 14, 2024. This real-world activity indicates that known exploits for this specific version of i-Netsolution software are circulating within cybercrime communities and being used in automated scanning campaigns against vulnerable instances across the internet. The presence of such active exploitation underscores the urgency required to address this vulnerability before widespread data breaches occur.
Mitigation strategies must focus on immediate remediation at both the application code level and infrastructure layer. Developers should refactor all database interaction logic within /product-details.php to utilize parameterized queries or prepared statements, ensuring that user input is strictly treated as data rather than executable SQL syntax. Input validation routines must be implemented to enforce strict type checking for the 'id' parameter, rejecting any non-integer values immediately at the application boundary. Additionally, deploying a Web Application Firewall can provide temporary protection by filtering out known malicious patterns associated with SQL injection payloads before they reach the vulnerable script. Organizations running this specific build should prioritize upgrading to a patched version if available or applying manual code fixes as outlined above. Regular security audits and penetration testing are recommended to identify similar vulnerabilities in other endpoints that may share the same underlying architectural flaws.