CVE-2025-5764 is a cross-site scripting (XSS) vulnerability identified in version 1.0 of the code-projects Laundry System, specifically within the /data/insert_laundry.php file. The vulnerability arises from improper sanitization or validation of the 'Customer' parameter, which can be manipulated by an attacker to inject malicious scripts. This flaw allows an attacker to execute arbitrary JavaScript code in the context of the victim's browser when they interact with affected pages or inputs. The vulnerability is remotely exploitable without requiring authentication, although user interaction is necessary to trigger the malicious payload. The CVSS 4.0 base score is 5.1, indicating a medium severity level. The attack vector is network-based with low attack complexity and no privileges required, but user interaction is needed to activate the exploit. The impact primarily affects confidentiality and integrity at a low level, with no direct impact on availability. No known exploits are currently observed in the wild, and no patches have been published yet. The vulnerability disclosure is recent, with the issue reserved and published in early June 2025.

For European organizations using the code-projects Laundry System version 1.0, this XSS vulnerability could lead to session hijacking, theft of sensitive user data, or unauthorized actions performed on behalf of legitimate users. In environments where the Laundry System interfaces with customer data or internal management tools, attackers could leverage this vulnerability to compromise user accounts or inject malicious content that damages trust or leads to further exploitation. While the direct impact on system availability is minimal, the confidentiality and integrity risks could affect customer privacy and organizational reputation. Given that the Laundry System is likely used by small to medium enterprises in the service sector, the impact could be significant in terms of customer data exposure and regulatory compliance, especially under GDPR requirements. The requirement for user interaction limits the scope somewhat but does not eliminate risk, particularly if phishing or social engineering tactics are employed.

Organizations should immediately review and sanitize all user inputs, especially the 'Customer' parameter in the /data/insert_laundry.php script, to prevent injection of malicious scripts. Implementing strict input validation and output encoding (e.g., using context-aware escaping for HTML, JavaScript, and URL contexts) is essential. Employ Content Security Policy (CSP) headers to restrict the execution of unauthorized scripts and reduce the impact of potential XSS attacks. Additionally, organizations should monitor web application logs for suspicious input patterns and consider deploying Web Application Firewalls (WAFs) with rules targeting XSS payloads. Since no official patch is available yet, temporary mitigations such as disabling or restricting access to the vulnerable functionality until a fix is released should be considered. User awareness training to recognize phishing attempts that could trigger the XSS payload is also recommended. Finally, organizations should track updates from the vendor or security advisories for timely patch deployment.