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CVE-2025-22813: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') in QuantumCloud Conversational Forms for ChatBot

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VulnerabilityCVE-2025-22813cvecve-2025-22813
Published: Thu Jan 09 2025 (01/09/2025, 15:39:04 UTC)
Source: CVE Database V5
Vendor/Project: QuantumCloud
Product: Conversational Forms for ChatBot

Description

Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') vulnerability in QuantumCloud Conversational Forms for ChatBot conversational-forms allows Stored XSS.This issue affects Conversational Forms for ChatBot: from n/a through <= 1.4.2.

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 04/01/2026, 23:23:37 UTC

Technical Analysis

CVE-2025-22813 identifies a stored cross-site scripting (XSS) vulnerability in QuantumCloud's Conversational Forms for ChatBot, affecting all versions up to and including 1.4.2. The vulnerability stems from improper neutralization of user-supplied input during the generation of web pages, allowing malicious scripts to be stored and subsequently executed in the context of users' browsers. Stored XSS is particularly dangerous because the injected payload persists on the server and is delivered to multiple users, increasing the attack surface. Attackers can exploit this flaw by submitting crafted input that is not properly sanitized or encoded, which then gets embedded into the chatbot interface or related web pages. When other users access these pages, the malicious script executes, potentially enabling session hijacking, credential theft, defacement, or distribution of malware. The vulnerability does not require authentication or user interaction beyond visiting the affected page, making it easier to exploit. Although no public exploits have been reported yet, the nature of stored XSS and the popularity of chatbot interfaces in customer engagement and support make this a critical concern. The lack of a CVSS score suggests the need for an expert severity assessment, which here is rated high due to the broad impact on confidentiality and integrity, ease of exploitation, and the scope of affected systems. Organizations relying on QuantumCloud's chatbot solutions should prioritize remediation and adopt secure coding practices to prevent similar issues.

Potential Impact

The impact of CVE-2025-22813 on organizations worldwide can be significant. Stored XSS vulnerabilities allow attackers to execute arbitrary JavaScript in the browsers of users interacting with the vulnerable chatbot, potentially leading to theft of session cookies, personal data, or credentials. This can facilitate account takeover, unauthorized transactions, or lateral movement within corporate networks. For customer-facing chatbots, such attacks can damage brand reputation and customer trust. Additionally, attackers may use the vulnerability to deliver malware or redirect users to phishing sites. Since chatbots are often integrated into critical business workflows and customer service portals, exploitation could disrupt operations and lead to regulatory compliance issues, especially in sectors handling sensitive data such as finance, healthcare, and e-commerce. The ease of exploitation without authentication increases the risk of widespread automated attacks. Organizations that do not promptly address this vulnerability may face data breaches, financial losses, and legal consequences.

Mitigation Recommendations

To mitigate CVE-2025-22813, organizations should immediately monitor for updates or patches from QuantumCloud and apply them as soon as they become available. In the absence of a patch, implement web application firewall (WAF) rules to detect and block malicious input patterns targeting the chatbot interface. Conduct thorough input validation and output encoding on all user-supplied data within the chatbot forms, ensuring that special characters are properly escaped before rendering in HTML contexts. Employ Content Security Policy (CSP) headers to restrict the execution of unauthorized scripts in browsers. Regularly audit chatbot implementations for injection flaws and perform penetration testing focused on XSS vectors. Educate developers on secure coding practices, particularly regarding input handling in conversational UI components. Additionally, monitor logs for unusual activity that may indicate exploitation attempts. For organizations using third-party integrations, verify that all components adhere to security best practices to prevent chained vulnerabilities.

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Technical Details

Data Version
5.2
Assigner Short Name
Patchstack
Date Reserved
2025-01-07T21:05:44.629Z
Cvss Version
null
State
PUBLISHED

Threat ID: 69cd7613e6bfc5ba1df09458

Added to database: 4/1/2026, 7:46:27 PM

Last enriched: 4/1/2026, 11:23:37 PM

Last updated: 4/4/2026, 8:33:24 AM

Views: 2

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