CVE-2007-3810 in Realtor 747
Summary
by MITRE
SQL injection vulnerability in index.php in Realtor 747 allows remote attackers to execute arbitrary SQL commands via the categoryid parameter.
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Analysis
by VulDB Data Team • 09/25/2024
The CVE-2007-3810 vulnerability represents a critical sql injection flaw discovered in the Realtor 747 web application's index.php script. This vulnerability specifically targets the categoryid parameter, which serves as an entry point for malicious sql commands to be executed on the underlying database system. The flaw exists due to inadequate input validation and sanitization within the application's data handling processes, allowing unauthorized users to manipulate the sql query structure through crafted input values. The vulnerability operates at the application layer and can be exploited remotely without requiring authentication, making it particularly dangerous for web applications that process user-supplied data directly into database queries.
The technical exploitation of this vulnerability follows standard sql injection attack patterns where the categoryid parameter is manipulated to inject malicious sql code into the database query execution flow. When the application processes the user input without proper sanitization, the sql query structure becomes vulnerable to manipulation, enabling attackers to extract sensitive data, modify database contents, or even gain elevated privileges within the database system. This type of vulnerability falls under the common weakness enumeration CWE-89 which specifically addresses sql injection flaws in software applications. The attack vector operates through the http protocol where malicious payloads are submitted through web forms or url parameters, making it accessible to any attacker with network access to the vulnerable web application.
The operational impact of CVE-2007-3810 extends beyond simple data theft to encompass complete database compromise and potential system-wide infiltration. Attackers can leverage this vulnerability to access confidential realtor information including client details, property listings, and financial records stored within the database. The vulnerability creates persistent access points that could enable attackers to maintain long-term presence within the target environment, potentially leading to extended data breaches and system compromise. Organizations using the Realtor 747 application face significant risk of regulatory compliance violations, financial loss, and reputational damage when such vulnerabilities remain unpatched. The vulnerability also aligns with several attack techniques documented in the mitre att&ck framework under the execution and credential access domains, particularly the use of sql injection techniques for privilege escalation and data exfiltration.
Mitigation strategies for this vulnerability require immediate implementation of proper input validation and parameterized query execution throughout the application codebase. The recommended approach involves implementing strict input sanitization measures that filter or escape special sql characters from user-supplied parameters including the categoryid field. Database access should be restricted through proper privilege management where application accounts have minimal required permissions rather than administrative access. Regular security code reviews and automated vulnerability scanning should be implemented to identify similar sql injection patterns throughout the application. Additionally, web application firewalls and input validation mechanisms should be deployed to filter malicious sql payloads before they reach the application layer. The remediation process must include comprehensive testing to ensure that all sql query parameters are properly sanitized and that the application follows secure coding practices as defined in owasp top ten and other industry security standards. Organizations should also implement regular patch management processes to address similar vulnerabilities in third-party applications and maintain up-to-date security monitoring to detect exploitation attempts.