CVE-2006-3307 in Project EROS bbsengine
Summary
by MITRE
Multiple SQL injection vulnerabilities in Project EROS bbsengine before bbsengine-20060429-1550-jam allow remote attackers to execute arbitrary SQL commands via (1) unspecified parameters in the php/comment.php and (2) the getpartialmatches method in php/aolbonics.php.
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Analysis
by VulDB Data Team • 09/18/2017
The vulnerability described in CVE-2006-3307 represents a critical security flaw in Project EROS bbsengine version prior to bbsengine-20060429-1550-jam, exposing the system to remote SQL injection attacks that could compromise database integrity and confidentiality. This vulnerability affects web applications built on the bbsengine framework, which was commonly used for bulletin board systems and community platforms during that era. The flaw stems from inadequate input validation and improper parameter handling within the application's database interaction layers, creating pathways for malicious actors to inject and execute arbitrary SQL commands directly within the database layer.
The technical implementation of this vulnerability manifests through two distinct attack vectors within the application's codebase. The first vector involves unspecified parameters within the php/comment.php file, where user-supplied data is directly incorporated into SQL query constructions without proper sanitization or parameterization. The second vector targets the getpartialmatches method in php/aolbonics.php, which similarly fails to validate or escape user input before incorporating it into database queries. These flaws align with CWE-89, which categorizes SQL injection as a weakness where untrusted data is concatenated into SQL commands, and represent a classic example of insecure database query construction. The vulnerability enables attackers to manipulate database operations through crafted input that bypasses normal application logic and directly influences SQL command execution.
The operational impact of this vulnerability extends beyond simple data theft, as it provides attackers with comprehensive database access capabilities including read, write, and delete operations. Remote attackers could potentially extract sensitive user information, modify database contents, create new user accounts with elevated privileges, or even execute system-level commands if the database server permits such operations. The attack surface is particularly concerning given that these vulnerabilities affect core application functionality related to user comments and data matching services, suggesting that the exploitation could occur through normal user interactions without requiring special privileges or specialized tools. This vulnerability would have particularly severe consequences for community platforms where user-generated content is prevalent, as attackers could manipulate or destroy the entire platform's content repository.
Mitigation strategies for this vulnerability must address both immediate remediation and long-term architectural improvements to prevent similar issues in future implementations. The most direct fix involves implementing proper input validation and parameterized queries throughout the affected code sections, ensuring that all user-supplied data is properly escaped or parameterized before database interaction. This approach aligns with ATT&CK technique T1071.004 for application layer attacks and follows industry best practices for SQL injection prevention. Organizations should also implement proper output encoding, employ web application firewalls, and conduct regular security assessments to identify similar vulnerabilities across their application portfolio. Additionally, the use of prepared statements and stored procedures can provide additional layers of protection, while regular security updates and patch management processes should be established to prevent future exposure to similar vulnerabilities. The vulnerability highlights the critical importance of input validation and secure coding practices in preventing database-related security incidents that could compromise entire application ecosystems.