CVE-2025-6359 is a critical SQL Injection vulnerability identified in version 1.0 of the code-projects Simple Pizza Ordering System, specifically within the /cashconfirm.php file. The vulnerability arises from improper sanitization or validation of the 'transactioncode' parameter, which can be manipulated by an attacker to inject malicious SQL commands. This flaw allows an unauthenticated remote attacker to execute arbitrary SQL queries against the backend database without requiring any user interaction or privileges. Exploiting this vulnerability could lead to unauthorized data access, modification, or deletion, potentially compromising the confidentiality, integrity, and availability of the system's data. Although the CVSS 4.0 score is 6.9 (medium severity), the vulnerability's characteristics—remote exploitability without authentication or user interaction—indicate a significant risk, especially given the critical rating assigned by the vendor. No patches or fixes have been published yet, and while no known exploits are currently observed in the wild, the public disclosure of the exploit code increases the likelihood of exploitation attempts. The vulnerability affects only version 1.0 of the Simple Pizza Ordering System, a niche product primarily used by small to medium-sized food service businesses for order management and payment confirmation. The attack vector is network-based, targeting the web interface of the application, which is typically deployed on internal or cloud-hosted servers. The lack of authentication requirements and the direct impact on database queries make this vulnerability a high-risk entry point for attackers aiming to compromise backend data stores or pivot into broader network environments.

For European organizations using the Simple Pizza Ordering System 1.0, this vulnerability poses a significant threat to the confidentiality and integrity of customer and transaction data. Successful exploitation could lead to unauthorized disclosure of sensitive payment and order information, manipulation of transaction records, or complete database compromise. This could result in financial losses, reputational damage, and regulatory non-compliance, particularly under GDPR requirements for protecting personal data. Additionally, attackers could leverage this vulnerability as a foothold to escalate privileges or move laterally within the network, potentially impacting other critical systems. Given the nature of the affected product—used in food service and retail sectors—disruption of order processing and payment confirmation workflows could also affect business continuity and customer trust. The medium CVSS score may underestimate the real-world impact, as the vulnerability requires no authentication and can be exploited remotely, increasing the attack surface. Organizations relying on this system without timely mitigation are at risk of data breaches and operational disruptions.

Immediately audit all deployments of Simple Pizza Ordering System version 1.0 to identify affected instances. Implement Web Application Firewall (WAF) rules specifically targeting SQL injection patterns on the 'transactioncode' parameter to block malicious payloads at the network edge. Apply input validation and parameterized queries or prepared statements in the /cashconfirm.php code to sanitize the 'transactioncode' input, preventing SQL injection. If source code modification is not feasible immediately, consider isolating the application behind strict network segmentation to limit exposure. Monitor application logs and database query logs for unusual or suspicious activity related to transactioncode parameters. Develop and deploy an incident response plan focused on detecting and responding to SQL injection attempts. Engage with the vendor or community to obtain or develop patches or updates addressing this vulnerability. Educate staff responsible for application maintenance about the risks and signs of SQL injection attacks. Regularly back up databases and ensure backups are stored securely and tested for restoration to minimize impact in case of data compromise.