CVE-2006-2701 in Geeklog
Summary
by MITRE
SQL injection vulnerability in Geeklog 1.4.0sr2 and earlier allows remote attackers to execute arbitrary SQL commands via unknown vectors related to story submission.
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Analysis
by VulDB Data Team • 07/27/2018
The vulnerability identified as CVE-2006-2701 represents a critical SQL injection flaw discovered in Geeklog version 1.4.0sr2 and earlier installations. This security weakness resides within the story submission functionality of the content management system, creating an avenue for remote attackers to manipulate the underlying database through carefully crafted input parameters. The vulnerability stems from inadequate input validation and sanitization mechanisms that fail to properly escape or filter user-supplied data before incorporating it into SQL query structures. This particular weakness allows malicious actors to inject arbitrary SQL commands that execute with the privileges of the database user associated with the Geeklog application, potentially leading to complete database compromise and unauthorized access to sensitive information.
The technical exploitation of this vulnerability occurs through the story submission process where user inputs are not adequately sanitized before being processed by the database layer. Attackers can craft malicious input that, when submitted through the story creation interface, gets directly incorporated into SQL queries without proper parameterization or input filtering. This flaw enables attackers to manipulate the database structure, extract confidential data, modify existing records, or even delete entire datasets. The vulnerability's classification under CWE-89 indicates it falls within the category of improper neutralization of special elements used in SQL commands, a well-documented weakness that has been consistently exploited in web applications over many years. The attack surface is particularly concerning given that story submission is a common functionality in content management systems, making this vulnerability accessible to a wide range of potential threat actors.
The operational impact of this vulnerability extends beyond simple data theft, as it can lead to complete system compromise and persistent access to the affected infrastructure. Remote attackers who successfully exploit this vulnerability can gain unauthorized access to user credentials, personal information, and other sensitive data stored within the Geeklog database. The attack vector does not require any special privileges or local access, making it particularly dangerous as it can be exploited from anywhere on the internet. This weakness creates a pathway for attackers to escalate their privileges within the application, potentially leading to full system control. According to ATT&CK framework, this vulnerability maps to technique T1190 - Exploit Public-Facing Application, and T1071.004 - Application Layer Protocol: DNS, as attackers may use the compromised system to launch further attacks or establish persistence. The vulnerability also aligns with T1046 - Network Service Scanning and T1083 - File and Directory Discovery, as attackers would typically explore the compromised system to understand its structure and identify additional targets.
Mitigation strategies for CVE-2006-2701 must focus on immediate remediation through software updates and implementation of proper input validation mechanisms. Organizations should prioritize upgrading to Geeklog versions that address this vulnerability, as the original version 1.4.0sr2 and earlier contain fundamental security flaws that have been well-documented and exploited in numerous real-world scenarios. The implementation of parameterized queries or prepared statements should be enforced throughout the application to prevent SQL injection attacks, while input validation should be strengthened to reject or sanitize any potentially malicious characters. Additionally, database access privileges should be restricted to the minimum necessary for application functionality, and proper logging mechanisms should be implemented to detect and respond to suspicious database activities. Network-level protections such as web application firewalls and intrusion detection systems can provide additional layers of defense, while regular security assessments and penetration testing should be conducted to identify similar vulnerabilities in other components of the system architecture. The remediation process should also include comprehensive security training for developers to prevent similar issues in future application development cycles.