CVE-2018-25210 in E-Ticaret
Summary
by MITRE • 03/26/2026
WebOfisi E-Ticaret 4.0 contains an SQL injection vulnerability in the 'urun' GET parameter of the endpoint that allows unauthenticated attackers to manipulate database queries. Attackers can inject SQL payloads through the 'urun' parameter to execute boolean-based blind, error-based, time-based blind, and stacked query attacks against the backend database.
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Analysis
by VulDB Data Team • 03/26/2026
The WebOfisi E-Ticaret 4.0 platform presents a critical SQL injection vulnerability identified as CVE-2018-25210 that affects the 'urun' GET parameter within its web application interface. This vulnerability resides in the application's backend database interaction logic where user-supplied input from the 'urun' parameter is directly incorporated into SQL query construction without proper sanitization or parameterization. The flaw enables unauthenticated attackers to exploit the application's data handling mechanisms by crafting malicious SQL payloads that manipulate the underlying database operations. The vulnerability specifically targets the product listing functionality where the 'urun' parameter serves as a product identifier or category reference, making it a prime target for database manipulation attacks. This issue falls under CWE-89 which categorizes SQL injection vulnerabilities as a fundamental weakness in software design that allows attackers to execute arbitrary SQL commands against database systems. The vulnerability's impact extends beyond simple data retrieval as it provides attackers with extensive database manipulation capabilities through multiple attack vectors including boolean-based blind, error-based, time-based blind, and stacked query techniques. These attack methods allow adversaries to systematically extract database information, modify existing records, or even delete critical data depending on the database privileges and access controls in place.
The operational implications of this vulnerability are severe and multifaceted within the context of e-commerce platforms. Attackers can leverage this weakness to perform comprehensive database reconnaissance by using boolean-based blind SQL injection techniques to infer database structure and content without direct error messages. Error-based injection attacks can provide attackers with detailed database schema information, including table names, column structures, and data types, while time-based blind methods allow for data extraction through timing-based responses that indicate successful query execution. Stacked query attacks represent the most dangerous variant as they enable attackers to execute multiple SQL statements simultaneously, potentially leading to complete database compromise. The vulnerability's presence in an e-commerce platform specifically exposes sensitive customer data, product catalogs, pricing information, and transaction records to unauthorized access and manipulation. This threat landscape aligns with ATT&CK technique T1071.005 which covers application layer protocol manipulation, and T1213.002 which addresses data from information repositories, both of which are directly applicable to the exploitation of SQL injection vulnerabilities in web applications.
Mitigation strategies for this vulnerability must address both immediate remediation and long-term security architecture improvements. The primary solution involves implementing proper input validation and parameterized queries throughout the application's codebase, specifically ensuring that all user-supplied input including the 'urun' parameter is properly escaped or parameterized before database interaction. Web application firewalls and input sanitization mechanisms should be deployed to filter malicious payloads attempting SQL injection attacks. Database access controls must be strictly enforced through principle of least privilege, limiting application database accounts to only necessary permissions and preventing execution of administrative commands. Regular security code reviews and automated vulnerability scanning should be implemented to identify similar weaknesses in other application components. The application should also implement proper error handling that prevents sensitive database information from being exposed to end users, as detailed error messages can aid attackers in crafting more sophisticated attacks. Additionally, implementing database activity monitoring and intrusion detection systems can help identify suspicious database access patterns that may indicate exploitation attempts. Organizations should also consider implementing multi-factor authentication and additional access controls for database management interfaces to reduce the impact of potential database compromise. The remediation process should follow industry standards such as OWASP Top Ten recommendations for preventing SQL injection and NIST guidelines for secure software development practices to ensure comprehensive protection against similar vulnerabilities in future releases.