CVE-2026-57363 in ChatBot Plugin
Summary
by MITRE • 07/13/2026
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') vulnerability in QuantumCloud ChatBot chatbot allows Stored XSS.This issue affects ChatBot: from n/a through <= 8.3.7.
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Analysis
by VulDB Data Team • 07/13/2026
This cross-site scripting vulnerability represents a critical web application security flaw that enables attackers to inject malicious scripts into web pages viewed by other users. The vulnerability falls under the well-established CWE-79 category for improper neutralization of input during web page generation, which is one of the most prevalent and dangerous web application vulnerabilities identified in the OWASP Top Ten. The specific implementation flaw allows for stored cross-site scripting attacks where malicious payloads persist in the application's database or storage mechanisms rather than being reflected in a single request.
The vulnerability affects QuantumCloud ChatBot versions up to and including 8.3.7, indicating this is not a newly discovered issue but one that has persisted through multiple releases. This suggests inadequate input validation and output encoding practices within the chatbot's web interface processing components. When users submit content through the chatbot interface, the application fails to properly sanitize or escape user-provided data before storing it in a manner that will be later rendered in web pages. The stored nature of this vulnerability means that malicious scripts are permanently embedded in the application's data stores and executed whenever legitimate users view the affected content.
The operational impact of this vulnerability is substantial as it allows threat actors to execute arbitrary JavaScript code within the context of authenticated user sessions. This creates potential for session hijacking, credential theft, data exfiltration, and privilege escalation attacks. Attackers could craft malicious chat messages containing script payloads that would execute when other users view the chat history or interact with the chatbot interface. The stored nature means these attacks can affect multiple users over time without requiring repeated exploitation attempts. According to ATT&CK framework, this vulnerability maps to T1059.007 for command and scripting interpreter execution and potentially T1566 for social engineering techniques using malicious content.
Mitigation strategies should focus on implementing robust input validation, output encoding, and proper sanitization of all user-provided content before storage or rendering. The application must employ context-appropriate escaping mechanisms for different output contexts including HTML, JavaScript, CSS, and URL contexts. Security measures should include implementing Content Security Policy headers to limit script execution capabilities, using secure coding practices that follow the OWASP Secure Coding Practices, and implementing automatic sanitization of all user inputs through established libraries or frameworks designed to prevent XSS attacks. Regular security testing including automated scanning and manual penetration testing should be conducted to identify similar vulnerabilities in other components of the application ecosystem.