CVE-2009-3665 in Nullam Blog
Summary
by MITRE
Multiple SQL injection vulnerabilities in index.php in Nullam Blog 0.1.2 allow remote attackers to execute arbitrary SQL commands via the (1) i parameter or (2) v parameters in a register action.
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Analysis
by VulDB Data Team • 07/16/2025
The vulnerability described in CVE-2009-3665 represents a critical SQL injection flaw within the Nullam Blog content management system version 0.1.2. This vulnerability exists in the index.php file and specifically affects the register action functionality where user input is improperly handled without adequate sanitization or validation. The flaw manifests through two distinct parameter vectors identified as the 'i' parameter and the 'v' parameter, both of which are susceptible to malicious input manipulation by remote attackers. This vulnerability directly violates fundamental security principles and represents a classic example of unsafe input handling that enables unauthorized database access and manipulation.
The technical exploitation of this vulnerability occurs through the improper handling of user-supplied data within the SQL query construction process. When users attempt to register through the affected system, the application fails to properly escape or parameterize input values before incorporating them into database queries. This creates an environment where attackers can inject malicious SQL code through the vulnerable parameters, allowing them to execute arbitrary database commands. The vulnerability is classified as a CWE-89 SQL Injection weakness, which is a well-documented and severe category of vulnerability that has been consistently ranked among the top security risks by organizations such as OWASP. The attack vector is particularly concerning as it operates entirely through the web interface without requiring any special privileges or authentication, making it accessible to any remote attacker.
The operational impact of this vulnerability extends far beyond simple data theft, as it provides attackers with complete control over the affected database system. Successful exploitation could result in unauthorized data modification, data deletion, or the complete compromise of the blog's content management system. Attackers could potentially escalate their privileges within the database, access sensitive user information, or even use the compromised system as a staging ground for further attacks against the broader network infrastructure. From an attacker's perspective, this vulnerability aligns with the MITRE ATT&CK framework's technique T1071.004 for application layer protocol usage and T1190 for exploitation of remote services. The vulnerability's impact is compounded by the fact that it affects the registration functionality, which is typically a publicly accessible component of web applications, making it particularly attractive to threat actors seeking persistent access.
Mitigation strategies for this vulnerability require immediate attention and comprehensive remediation efforts. The primary solution involves implementing proper input validation and parameterized queries throughout the application codebase, specifically targeting the vulnerable parameters in the index.php file. Organizations should enforce strict input sanitization measures that prevent malicious SQL code from being executed within database contexts. The implementation of prepared statements or parameterized queries should be mandatory for all database interactions, as this approach effectively neutralizes SQL injection threats by separating SQL commands from data. Additionally, regular security assessments and code reviews should be conducted to identify similar vulnerabilities across the entire application architecture. Network segmentation and access controls should be implemented to limit potential damage from successful exploitation attempts, while application firewalls and intrusion detection systems can provide additional layers of protection against known attack patterns. The remediation process should also include comprehensive logging and monitoring of database activities to detect any unauthorized access attempts or suspicious query patterns that may indicate exploitation attempts.