CVE-2025-57203 is a Cross-Site Scripting (XSS) vulnerability affecting MagicProject AI version 9.1, specifically within its chatbot generation feature accessible to authenticated admin users. The vulnerability exists in the 'prompt' parameter submitted via a multipart/form-data POST request to the /dashboard/user/generator/generate-stream endpoint. Due to insufficient input sanitization, an attacker with administrative privileges can inject malicious HTML and JavaScript code that is stored and later rendered unsanitized in views accessed by other users. This stored XSS allows execution of arbitrary JavaScript in the context of victims' browsers, potentially enabling session hijacking, privilege escalation, data exfiltration, or even takeover of administrative accounts. The application lacks a Content Security Policy (CSP) and does not implement adequate input filtering or output encoding, which exacerbates the risk. The vulnerability requires authenticated access with high privileges and user interaction (viewing the affected content) to trigger exploitation. The CVSS score is 4.8 (medium severity), reflecting the need for authentication and user interaction, but also the potential for significant impact on confidentiality and integrity. Mitigation involves implementing robust input sanitization on the 'prompt' parameter, applying proper output encoding before rendering user-supplied content, and enforcing a strong CSP to restrict script execution and reduce attack surface. No known exploits are currently reported in the wild, but the vulnerability poses a notable risk in environments where multiple admins or users access the chatbot generation feature.

For European organizations using MagicProject AI version 9.1, this vulnerability could lead to unauthorized access to sensitive information, session hijacking, and administrative account compromise if exploited. Given that the flaw requires authenticated admin access, the primary risk is insider threat or compromised admin credentials. Successful exploitation could undermine the integrity and confidentiality of organizational data, disrupt chatbot-related services, and potentially allow attackers to pivot to other systems. In sectors with strict data protection regulations such as GDPR, exploitation could lead to regulatory penalties and reputational damage. Organizations relying on MagicProject AI for customer interaction or internal automation may face operational disruptions and loss of trust. The absence of CSP and input validation increases the likelihood of successful exploitation in environments with multiple administrators or where credential theft is possible.

1. Immediately apply patches or updates from the vendor once available. In the absence of official patches, implement strict input validation and sanitization on the 'prompt' parameter to block HTML and JavaScript injection. 2. Employ output encoding techniques (e.g., HTML entity encoding) when rendering user-supplied content to prevent script execution. 3. Configure and enforce a strong Content Security Policy (CSP) that restricts inline scripts and only allows trusted script sources, mitigating the impact of any injected scripts. 4. Limit administrative access strictly to trusted personnel and enforce multi-factor authentication to reduce the risk of credential compromise. 5. Monitor logs and user activity for suspicious behavior related to the chatbot generation feature. 6. Conduct security awareness training for admins to recognize phishing or social engineering attempts that could lead to credential theft. 7. Consider implementing web application firewalls (WAF) with rules to detect and block XSS payloads targeting the vulnerable endpoint. 8. Regularly review and audit the application’s code and third-party components for similar input validation weaknesses.