CVE-2005-0890 in Koobi CMS
Summary
by MITRE
SQL injection vulnerability in Dream4 Koobi CMS 4.2.3 allows remote attackers to execute arbitrary SQL commands via the area parameter.
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Analysis
by VulDB Data Team • 06/16/2025
The vulnerability identified as CVE-2005-0890 represents a critical SQL injection flaw within the Dream4 Koobi Content Management System version 4.2.3. This security weakness resides in the application's handling of user input through the area parameter, which is processed without adequate sanitization or validation. The vulnerability allows remote attackers to inject malicious SQL code directly into the database query execution flow, potentially compromising the entire backend database infrastructure.
This SQL injection vulnerability falls under the Common Weakness Enumeration category CWE-89, which specifically addresses improper neutralization of special elements used in SQL commands. The flaw exists due to insufficient input validation and parameterized query implementation within the Koobi CMS codebase. When the area parameter is submitted by an attacker, the application directly incorporates this input into SQL queries without proper escaping or sanitization mechanisms, creating an exploitable condition that enables unauthorized database access.
The operational impact of this vulnerability extends beyond simple data theft, as it provides attackers with the capability to execute arbitrary SQL commands against the affected database. This could result in complete database compromise, data exfiltration, unauthorized user account creation, modification of critical application data, or even escalation to system-level access. The remote nature of the attack means that adversaries do not require physical access to the system and can exploit the vulnerability from anywhere on the internet, making it particularly dangerous for web applications hosting sensitive information.
Organizations utilizing Dream4 Koobi CMS version 4.2.3 should implement immediate mitigations including input validation, parameterized queries, and proper output encoding to prevent SQL injection attacks. The recommended approach involves implementing a robust input sanitization layer that filters and validates all user-supplied data before processing, combined with the adoption of prepared statements and parameterized queries to ensure that user input cannot be interpreted as SQL commands. Additionally, implementing proper access controls, database user permissions, and regular security audits can significantly reduce the attack surface and potential impact of such vulnerabilities. The ATT&CK framework categorizes this vulnerability under T1190 - Exploit Public-Facing Application, highlighting the importance of securing web applications and maintaining up-to-date security practices to prevent exploitation.