CVE-2025-50363 identifies a Cross Site Scripting (XSS) vulnerability in the Phpgurukul Maid Hiring Management System version 1.0. The vulnerability exists in the /maid-hiring.php page, specifically through the 'name' input field, which fails to properly sanitize or encode user-supplied input. This allows an attacker to inject arbitrary JavaScript code that executes in the context of other users' browsers when they view the affected page. XSS vulnerabilities can be exploited to steal session cookies, perform actions on behalf of authenticated users, deface web content, or redirect users to malicious websites. The vulnerability does not require authentication, meaning any unauthenticated attacker can craft malicious URLs or forms to exploit it. No CVSS score has been assigned yet, and no patches or official fixes have been released. There are no known exploits in the wild at this time, but the vulnerability is publicly disclosed and thus could be targeted by attackers. The lack of input validation and output encoding in the affected field is the root cause. The system is likely used in environments managing domestic worker hiring, which may contain sensitive personal information. Without mitigation, attackers could compromise user trust and data confidentiality. The vulnerability's exploitation requires victim interaction, such as clicking a malicious link or visiting a compromised page. This vulnerability highlights the importance of secure coding practices, including input validation, context-aware output encoding, and implementing Content Security Policy (CSP) headers to mitigate script injection risks.

For European organizations using the Phpgurukul Maid Hiring Management System, this XSS vulnerability poses risks primarily to confidentiality and integrity of user data. Attackers could steal session tokens, enabling unauthorized access to user accounts and sensitive personal information related to domestic workers and employers. This could lead to identity theft, fraud, or reputational damage. Additionally, attackers could manipulate the web interface to mislead users or distribute malware. The vulnerability could disrupt service availability if exploited to deface or overload the system. Given the nature of the affected system, organizations in the human resources, staffing, and domestic services sectors are particularly vulnerable. The impact extends to regulatory compliance risks under GDPR, as personal data exposure could result in significant fines and legal consequences. The lack of authentication requirement for exploitation increases the attack surface, making it easier for external threat actors to target these organizations. Although no exploits are currently known in the wild, the public disclosure increases the likelihood of future attacks. Organizations may also face indirect impacts such as loss of customer trust and operational disruptions.

To mitigate CVE-2025-50363, organizations should implement strict input validation on the 'name' field in /maid-hiring.php, ensuring that all user-supplied data is sanitized to remove or neutralize potentially malicious scripts. Employ context-aware output encoding (e.g., HTML entity encoding) before rendering user input in the browser to prevent script execution. Implement Content Security Policy (CSP) headers to restrict the execution of unauthorized scripts and reduce the impact of any injected code. Regularly audit and update the application codebase to follow secure coding best practices, including using security-focused libraries or frameworks that automatically handle input sanitization. Monitor web application logs for unusual activity or attempted script injections. If possible, isolate the affected application environment and apply web application firewalls (WAF) with rules targeting XSS attack patterns. Engage with the vendor or development team to obtain or request a patch addressing this vulnerability. Educate users about the risks of clicking untrusted links and encourage the use of updated browsers with built-in XSS protections. Finally, conduct penetration testing and vulnerability scanning to verify the effectiveness of applied mitigations.