CVE-2025-8973 in Cashier Queuing System
Summary
by MITRE • 08/14/2025
A vulnerability has been found in SourceCodester Cashier Queuing System 1.0. Affected is an unknown function of the file /Actions.php. The manipulation of the argument Username leads to sql injection. It is possible to launch the attack remotely. The exploit has been disclosed to the public and may be used.
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Analysis
by VulDB Data Team • 08/21/2025
The vulnerability identified as CVE-2025-8973 affects the SourceCodester Cashier Queuing System version 1.0, representing a critical security flaw that exposes the application to remote SQL injection attacks. This vulnerability resides within the Actions.php file and specifically targets an unknown function that processes user input. The attack vector is particularly concerning as it allows remote exploitation without requiring any authentication or privileged access, making it highly dangerous in production environments. The flaw enables attackers to manipulate the Username argument in a manner that directly translates into malicious SQL commands being executed against the underlying database. This represents a fundamental breakdown in input validation and output encoding practices that violates core security principles outlined in the OWASP Top Ten and the CWE database under category CWE-89 for SQL injection vulnerabilities.
The technical implementation of this vulnerability demonstrates a classic SQL injection flaw where user-supplied input is directly incorporated into database queries without proper sanitization or parameterization. When an attacker provides malicious input through the Username parameter, the system fails to properly escape or validate the input before incorporating it into SQL execution contexts. This allows the attacker to craft SQL commands that can manipulate the database structure, extract sensitive information, modify or delete data, or potentially escalate privileges within the database environment. The remote exploitation capability means that attackers can leverage this vulnerability from any location without requiring physical access to the system, significantly expanding the attack surface and potential impact.
The operational impact of this vulnerability extends beyond simple data compromise, as it provides attackers with extensive control over the application's backend database infrastructure. Successful exploitation could result in unauthorized data access, data modification, or complete database destruction, potentially affecting customer information, transaction records, and business-critical data within the cashier queuing system. The disclosed exploit status indicates that threat actors have already developed and published methods to leverage this vulnerability, increasing the likelihood of real-world attacks. Organizations utilizing this system face immediate risk of data breaches, regulatory compliance violations, and potential financial losses due to unauthorized access to sensitive information. The vulnerability also creates opportunities for attackers to establish persistent access points through database backdoors or credential theft, as highlighted in MITRE ATT&CK framework's T1190 (Exploit Public-Facing Application) and T1071.005 (Application Layer Protocol: Web Protocols) techniques.
Mitigation strategies for CVE-2025-8973 should prioritize immediate patching of the SourceCodester Cashier Queuing System to the latest version that addresses this SQL injection vulnerability. Organizations should implement proper input validation and parameterized queries throughout the application to prevent similar issues from occurring in other components. Network segmentation and firewall rules should be configured to limit access to the affected system, while comprehensive monitoring should be deployed to detect potential exploitation attempts. Additionally, regular security assessments and penetration testing should be conducted to identify and remediate similar vulnerabilities in other applications. The implementation of web application firewalls and input sanitization mechanisms can provide additional layers of protection against SQL injection attacks, aligning with security frameworks such as NIST SP 800-53 and ISO 27001 requirements for secure application development practices.