CVE-2024-7204 in QbiBot
Summary
by MITRE • 08/02/2024
Ai3 QbiBot does not properly filter user input, allowing unauthenticated remote attackers to insert JavaScript code into the chat box. Once the recipient views the message, they will be subject to a Stored XSS attack.
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Analysis
by VulDB Data Team • 03/16/2025
The vulnerability identified as CVE-2024-7204 affects Ai3 QbiBot software which fails to implement proper input validation mechanisms for user submissions. This weakness creates a pathway for malicious actors to inject malicious JavaScript code through the chat interface without requiring authentication credentials. The flaw resides in the application's insufficient sanitization of user-provided data before processing and rendering chat messages, allowing attackers to exploit this gap in the security architecture. The vulnerability specifically targets the chat functionality where users can send messages to other participants within the system.
The technical implementation of this vulnerability stems from inadequate input filtering and output encoding practices within the QbiBot application. When users submit messages containing malicious script code, the system does not properly validate or sanitize the input data before storing it in the database or rendering it to other users. This creates a persistent security flaw where the injected JavaScript code becomes part of the application's content and is executed whenever legitimate users view the affected chat messages. The vulnerability manifests as a stored cross-site scripting attack pattern where the malicious payload is stored on the server and executed in the context of the victim's browser session. This represents a classic CWE-79 vulnerability classification related to cross-site scripting flaws.
The operational impact of this vulnerability is significant as it enables attackers to compromise user sessions and potentially execute arbitrary code in the browsers of other users. Once a victim views a malicious chat message, the stored JavaScript payload executes automatically, potentially leading to session hijacking, credential theft, or redirection to malicious websites. The unauthenticated nature of the attack means that any user with access to the chat functionality can exploit this vulnerability, making it particularly dangerous in environments where multiple users interact through the chat system. Attackers can leverage this weakness to establish persistent access to user accounts and potentially escalate privileges within the application. This vulnerability directly aligns with ATT&CK technique T1566.001 for Phishing and T1059.007 for Command and Scripting Interpreter.
Mitigation strategies for CVE-2024-7204 should focus on implementing robust input validation and output encoding mechanisms throughout the application's data processing pipeline. The primary defense involves sanitizing all user input through comprehensive validation that removes or encodes potentially dangerous characters and script tags before storing or rendering any user-provided content. Implementing Content Security Policy headers can provide additional protection by restricting the sources from which scripts can be executed within the application. Regular security testing including dynamic application security testing and manual code reviews should be conducted to identify similar vulnerabilities in the codebase. Organizations should also consider implementing web application firewalls and monitoring systems to detect and prevent exploitation attempts. The remediation process requires immediate patching of the input validation logic and thorough testing to ensure that all user-generated content is properly sanitized before being processed or displayed to other users within the chat system.