CVE-2025-63885 is a stored cross-site scripting (XSS) vulnerability identified in the AIxBlock software, specifically affecting the model_desc field. Stored XSS occurs when malicious input is saved by the application and later rendered in users' browsers without proper sanitization or encoding, allowing attackers to execute arbitrary JavaScript or HTML code. This vulnerability enables an attacker to craft a payload that, when injected into the model_desc field, is stored persistently and executed in the context of any user who accesses the affected content. The CVSS 3.1 score of 6.1 reflects a medium severity, with an attack vector of network (remote exploitation possible), low attack complexity, no privileges required, but requiring user interaction (e.g., a user viewing the malicious content). The scope is changed (S:C), indicating that the vulnerability affects components beyond the initially vulnerable component, potentially impacting other parts of the system or user sessions. The impact affects confidentiality and integrity, as malicious scripts can steal sensitive information, hijack sessions, or manipulate displayed data, but does not affect availability. No patches or known exploits are currently reported, but the vulnerability is publicly disclosed and should be addressed proactively. The CWE-79 classification confirms this is a classic XSS issue, emphasizing the need for proper input validation and output encoding. AIxBlock users should audit their input handling, especially for the model_desc field, and implement security controls to prevent injection and execution of malicious scripts.

For European organizations, this vulnerability poses a moderate risk primarily to web applications and services using AIxBlock that handle user-generated content in the model_desc field. Exploitation could lead to unauthorized disclosure of sensitive information, session hijacking, and potential manipulation of data integrity. This can affect internal users and customers, leading to reputational damage, regulatory non-compliance (e.g., GDPR breaches due to data leakage), and operational disruptions. Sectors such as finance, healthcare, and critical infrastructure that rely on AIxBlock for AI model management or deployment could face targeted attacks exploiting this vulnerability. The persistent nature of stored XSS increases the risk as malicious scripts remain active until removed, potentially affecting multiple users over time. Although no known exploits exist yet, the public disclosure increases the likelihood of future exploitation attempts, making timely mitigation essential.

1. Implement strict input validation on the model_desc field to disallow or sanitize potentially malicious characters and scripts before storage. 2. Apply proper output encoding/escaping when rendering the model_desc content in web pages to prevent script execution. 3. Employ Content Security Policy (CSP) headers to restrict the execution of unauthorized scripts in the browser context. 4. Conduct regular security code reviews and penetration testing focusing on user input handling and XSS vulnerabilities. 5. Educate developers and administrators about secure coding practices related to XSS prevention. 6. Monitor logs and user reports for suspicious activity or unexpected script execution. 7. If possible, isolate or restrict access to the affected application components to reduce exposure. 8. Stay updated on vendor patches or security advisories for AIxBlock and apply them promptly once available.