CVE-2006-3926 in Php Pro Bid
Summary
by MITRE
Multiple SQL injection vulnerabilities in PhpProBid 5.24 allow remote attackers to execute arbitrary SQL commands via the (1) view or (2) start parameters to (a) viewfeedback.php or the (3) orderType parameter to (b) categories.php.
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Analysis
by VulDB Data Team • 09/18/2017
The vulnerability identified as CVE-2006-3926 represents a critical security flaw in PhpProBid version 5.24, a popular auction software platform. This vulnerability manifests as multiple SQL injection opportunities that enable remote attackers to execute arbitrary SQL commands against the underlying database system. The flaw specifically affects two distinct entry points within the application's codebase, creating pathways for malicious actors to manipulate database queries and potentially gain unauthorized access to sensitive information. The vulnerability impacts the core functionality of the auction platform by allowing attackers to bypass normal authentication mechanisms and manipulate auction data, user information, and system configurations through carefully crafted malicious inputs.
The technical implementation of this vulnerability stems from inadequate input validation and sanitization within the application's PHP scripts. Attackers can exploit the vulnerability by manipulating three specific parameters: the view and start parameters in viewfeedback.php, and the orderType parameter in categories.php. These parameters are directly incorporated into SQL queries without proper escaping or parameterization, creating a classic SQL injection scenario. The vulnerability aligns with CWE-89, which specifically addresses SQL injection flaws where untrusted data is embedded into SQL commands without proper validation or sanitization. When an attacker submits malicious input through these parameters, the application fails to properly escape special SQL characters, allowing the injected commands to be executed with the privileges of the database user account used by the application.
The operational impact of this vulnerability is severe and multifaceted, affecting both the confidentiality and integrity of the auction platform's data. Remote attackers can potentially extract sensitive user information including usernames, passwords, and personal details stored in the database. The vulnerability also allows for data manipulation, enabling attackers to modify auction listings, alter bidding information, and potentially disrupt the entire auction process. In a worst-case scenario, successful exploitation could lead to complete database compromise, allowing attackers to execute administrative commands, create new user accounts, or even escalate privileges to gain full system control. The vulnerability's remote nature means that attackers do not require physical access to the system or network, making it particularly dangerous for online auction platforms that rely on database integrity and user trust.
Mitigation strategies for this vulnerability should focus on implementing proper input validation and parameterized queries throughout the application codebase. The most effective approach involves converting all database queries to use prepared statements with parameterized inputs, ensuring that user-supplied data is never directly embedded into SQL commands. Additionally, implementing proper input sanitization routines and enforcing strict parameter validation for all user inputs can significantly reduce the attack surface. Organizations should also consider implementing web application firewalls and intrusion detection systems to monitor for suspicious SQL injection attempts. The remediation process should include thorough code review to identify and fix all similar vulnerabilities across the application, as this vulnerability likely indicates broader security issues within the codebase. According to ATT&CK framework, this vulnerability maps to T1190 - Exploit Public-Facing Application, highlighting the need for proper network segmentation and application hardening measures to prevent unauthorized access to vulnerable web applications. Regular security assessments and vulnerability scanning should be implemented to identify similar injection flaws in other components of the system.