CVE-2010-1051 in AudiStat
Summary
by MITRE
Multiple SQL injection vulnerabilities in index.php in AudiStat 1.3 allow remote attackers to execute arbitrary SQL commands via the (1) year and (2) month parameters. NOTE: the provenance of this information is unknown; the details are obtained solely from third party information.
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Analysis
by VulDB Data Team • 05/03/2026
The vulnerability identified as CVE-2010-1051 represents a critical SQL injection flaw in AudiStat 1.3's index.php script that exposes the application to remote code execution attacks. This vulnerability affects the web application's handling of user-supplied input through specific parameters, creating a pathway for malicious actors to manipulate the underlying database operations. The affected parameters include the year and month variables that are processed without proper input validation or sanitization measures, allowing attackers to inject malicious SQL payloads that can be executed within the database context.
This vulnerability falls under the Common Weakness Enumeration category CWE-89, which specifically addresses SQL injection weaknesses in software applications. The flaw demonstrates poor input handling practices where user data is directly incorporated into SQL query construction without adequate escaping or parameterization techniques. The attack vector is particularly dangerous as it enables remote code execution, meaning that an attacker can potentially gain unauthorized access to the database and execute arbitrary commands. This type of vulnerability typically arises from insufficient data validation and the absence of proper prepared statement usage or stored procedure invocation patterns that would normally protect against such attacks.
The operational impact of this vulnerability extends beyond simple data theft or modification. Attackers can leverage the SQL injection to extract sensitive information from the database, modify or delete critical records, and potentially escalate privileges within the database environment. In the context of AudiStat, which appears to be a statistics tracking application, this could result in unauthorized access to user data, session information, or other confidential business metrics. The remote nature of the exploit means that attackers do not require physical access to the system or network, making the vulnerability particularly concerning for web applications that are publicly accessible.
The remediation strategy for this vulnerability requires immediate implementation of input validation and sanitization measures throughout the application codebase. Developers should implement proper parameterized queries or prepared statements to ensure that user input cannot alter the intended structure of SQL commands. Additionally, input filtering should be applied to validate and sanitize all parameters received from external sources before processing them within database operations. The application should also implement proper error handling to prevent information disclosure that could aid attackers in crafting more sophisticated payloads. Security best practices dictate that all database interactions should follow the principle of least privilege, ensuring that application accounts have minimal necessary permissions to reduce the potential impact of successful exploitation attempts. Organizations should also consider implementing web application firewalls and intrusion detection systems to monitor for suspicious SQL injection patterns and provide additional layers of defense against such attacks.