CVE-2008-2492 in Campus Bulletin Board
Summary
by MITRE
Multiple SQL injection vulnerabilities in Campus Bulletin Board 3.4 allow remote attackers to execute arbitrary SQL commands via the (1) id parameter to post3/view.asp and the (2) review parameter to post3/book.asp.
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Analysis
by VulDB Data Team • 08/13/2024
The vulnerability identified as CVE-2008-2492 represents a critical SQL injection flaw affecting Campus Bulletin Board version 3.4, a web-based application commonly used for academic institution communication and information sharing. This vulnerability resides within the application's handling of user-supplied input parameters, specifically targeting two distinct entry points that process database queries without proper sanitization mechanisms. The affected components include the post3/view.asp page where the id parameter is processed, and the post3/book.asp page where the review parameter is handled, both of which demonstrate inadequate input validation and output encoding practices that expose the underlying database infrastructure to malicious exploitation attempts.
The technical exploitation of this vulnerability occurs through the manipulation of HTTP request parameters that are directly incorporated into SQL query construction without appropriate sanitization or parameterization. When an attacker submits malicious input through the id parameter in post3/view.asp or the review parameter in post3/book.asp, the application fails to properly escape or validate these inputs before incorporating them into database queries. This omission creates a direct pathway for attackers to inject arbitrary SQL commands that execute within the database context, potentially allowing full database access and control. The vulnerability maps directly to CWE-89 which defines SQL injection as the insertion of malicious SQL code into query statements through input data validation failures, and aligns with ATT&CK technique T1190 for exploiting vulnerabilities in web applications through SQL injection attacks.
The operational impact of this vulnerability extends beyond simple data theft or modification, as successful exploitation could enable attackers to perform complete database compromise including unauthorized data access, data modification, or even database destruction. Remote attackers could leverage this vulnerability to extract sensitive information such as user credentials, personal academic records, or institutional data that may contain personally identifiable information or confidential administrative details. The implications are particularly severe in academic environments where such systems often contain student records, faculty information, and institutional communications that require strict confidentiality and integrity protection. Additionally, the vulnerability could serve as a stepping stone for further attacks within the network infrastructure, potentially leading to broader system compromise and persistence mechanisms.
Mitigation strategies for this vulnerability must address both immediate remediation and long-term architectural improvements to prevent similar issues. The most effective immediate solution involves implementing proper parameterized queries or prepared statements throughout the application codebase, ensuring that all user-supplied inputs are properly escaped or validated before database interaction. Input validation should be implemented at multiple layers including application-level filtering, output encoding for display purposes, and database-level access controls. The application should also implement proper error handling that does not expose database structure information to users, as this can aid attackers in crafting more sophisticated attacks. Organizations should conduct comprehensive code reviews to identify similar patterns across other application components and establish secure coding practices that align with industry standards such as OWASP Top Ten and NIST cybersecurity guidelines. Regular security testing including automated vulnerability scanning and manual penetration testing should be implemented to detect and remediate similar issues before they can be exploited by malicious actors.