SourceCodester Simple POS and Inventory System SQL Injection Vulnerability (CVE-2026-9447)

SourceCodester Simple POS and Inventory System 1.0 is vulnerable to SQL injection. The vulnerability, identified as CVE-2026-9447, resides in the /user/search.php file. An attacker can remotely exploit this vulnerability by manipulating the Name argument. Publicly available exploits exist, increasing the risk of active exploitation against vulnerable systems. This vulnerability could allow unauthorized access to sensitive data, modification of database records, or potentially complete database takeover.

Attack Chain

1. Attacker identifies a vulnerable instance of SourceCodester Simple POS and Inventory System 1.0.
2. Attacker crafts a malicious HTTP request targeting the /user/search.php endpoint.
3. The request includes a modified Name parameter containing SQL injection payloads.
4. The application fails to properly sanitize or parameterize the input.
5. The malicious SQL code is executed within the context of the database.
6. Attacker retrieves sensitive data such as usernames, passwords, and financial records.
7. Attacker may modify database records to escalate privileges or compromise user accounts.

Impact

Successful exploitation of this SQL injection vulnerability (CVE-2026-9447) can lead to unauthorized access to sensitive data, including user credentials and financial information. An attacker could potentially gain complete control of the database, leading to data breaches, financial losses, and reputational damage. Given the ease of exploitation and the availability of public exploits, vulnerable systems are at high risk of attack.

Recommendation

• Apply available patches or updates from SourceCodester to remediate CVE-2026-9447.
• Deploy the Sigma rule Detecting CVE-2026-9447 SQL Injection Attempt to detect potential exploitation attempts in web server logs.
• Implement input validation and sanitization measures to prevent SQL injection vulnerabilities in web applications.
• Monitor web server logs for suspicious activity, such as unusual characters or SQL keywords in URL parameters, to identify potential attacks.