CVE-2006-4107 in Job Search
Summary
by MITRE
SQL injection vulnerability in the Job Search module (job.module) 4.6 before revision 1.3.2.1 in Drupal allows remote attackers to execute arbitrary SQL commands via a job or resume search.
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Analysis
by VulDB Data Team • 09/24/2017
The vulnerability identified as CVE-2006-4107 represents a critical sql injection flaw within the job search module of the Drupal content management system. This security weakness specifically affects Drupal versions 4.6 and earlier, where the job.module component fails to properly sanitize user input during search operations. The vulnerability exists in the job search functionality that handles both job listings and resume searches, creating an attack surface where malicious actors can manipulate database queries through crafted input parameters. The flaw stems from insufficient input validation and improper query construction practices within the module's search implementation, allowing unauthorized users to inject malicious sql code that gets executed by the database server.
This sql injection vulnerability operates at the application layer and can be exploited remotely without requiring authentication or privileged access. Attackers can craft malicious search queries that manipulate the underlying sql statements executed by the database, potentially gaining access to sensitive information, modifying database records, or even executing administrative commands on the database server. The vulnerability is particularly dangerous because it affects core functionality that is frequently used within web applications, making it an attractive target for automated exploitation tools. The attack vector specifically targets the search parameters used in both job and resume search operations, where user-supplied input is directly incorporated into sql queries without proper sanitization or parameterization.
The operational impact of this vulnerability extends beyond simple data theft, as it can lead to complete system compromise and unauthorized access to sensitive organizational data. Successful exploitation could result in unauthorized disclosure of job listings, resume databases, user credentials, and other confidential information stored within the Drupal system. The vulnerability also poses risks to data integrity and availability, as attackers could potentially modify or delete critical records within the database. Organizations using affected Drupal versions face significant security risks, particularly those that rely heavily on job search functionalities or handle sensitive personal information in their resume databases. The vulnerability's remote exploitability means that attackers can target systems from anywhere on the internet without requiring physical access or network proximity.
Mitigation strategies for CVE-2006-4107 primarily focus on immediate patching and code-level remediation. The most effective solution involves upgrading to Drupal version 4.6 revision 1.3.2.1 or later, where the sql injection vulnerability has been addressed through proper input sanitization and query parameterization. Organizations should also implement proper input validation mechanisms that filter or escape special sql characters in search parameters, and adopt prepared statements or parameterized queries to prevent sql injection attacks. Network-level protections such as web application firewalls can provide additional defense-in-depth measures, though they should not be considered replacements for proper code-level fixes. Security monitoring and logging should be enhanced to detect suspicious search patterns that might indicate attempted exploitation. This vulnerability aligns with CWE-89, which specifically addresses sql injection flaws, and represents a classic example of how improper input handling can lead to severe security consequences. The attack pattern follows typical sql injection methodologies documented in the mitre ATT&CK framework under the technique of command and control through database manipulation. Organizations should also conduct comprehensive security assessments to identify similar vulnerabilities in other modules or components that might exhibit similar input handling weaknesses.