CVE-2024-5711 in devika
Summary
by MITRE • 07/08/2024
A stored Cross-Site Scripting (XSS) vulnerability exists in the stitionai/devika chat feature, allowing attackers to inject malicious payloads into the chat input. This vulnerability is due to the lack of input validation and sanitization on both the frontend and backend components of the application. Specifically, the application fails to sanitize user input in the chat feature, leading to the execution of arbitrary JavaScript code in the context of the user's browser session. This issue affects all versions of the application. The impact of this vulnerability includes the potential for stolen credentials, extraction of sensitive information from chat logs, projects, and other data accessible through the application.
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Analysis
by VulDB Data Team • 03/20/2025
The stored cross-site scripting vulnerability identified as CVE-2024-5711 represents a critical security flaw within the stitionai/devika chat functionality that enables attackers to persist malicious scripts within the application's data storage. This vulnerability stems from inadequate input validation and sanitization mechanisms across both frontend and backend components, creating a persistent threat vector where malicious payloads can be stored and subsequently executed whenever legitimate users interact with the affected chat feature. The flaw directly violates fundamental web security principles and represents a classic example of CWE-79 - Cross-Site Scripting, where insufficient sanitization of user-provided data allows arbitrary code execution in the context of other users' browsers.
The technical implementation of this vulnerability demonstrates a failure in the application's data handling pipeline where user input destined for chat messages undergoes no adequate filtering or encoding before being stored in the system's database. When other users view these stored messages, the malicious scripts execute within their browser sessions, creating a chain reaction that can compromise multiple user accounts simultaneously. The vulnerability affects all versions of the application, indicating a fundamental architectural flaw rather than a regression, which makes the remediation process more complex and potentially requires comprehensive code rearchitecture. This stored XSS variant is particularly dangerous because the malicious code persists beyond individual user sessions and can affect any user who encounters the compromised content.
The operational impact of CVE-2024-5711 extends far beyond simple script execution, creating significant risks for data integrity and user confidentiality within the application environment. Attackers can leverage this vulnerability to steal session cookies, credentials, and other sensitive information from users who interact with the compromised chat messages. The potential for data extraction from chat logs, project information, and other accessible application data creates a comprehensive threat surface that could lead to unauthorized access to proprietary information, intellectual property, and user personal data. This vulnerability directly maps to attack patterns described in the MITRE ATT&CK framework under T1531 - Account Access Removal and T1566 - Phishing, as attackers can use the stored XSS to harvest credentials and escalate privileges within the application environment.
Organizations utilizing the stitionai/devika application must implement immediate mitigation strategies to address this vulnerability, including comprehensive input sanitization across all data entry points, implementation of Content Security Policy headers, and regular security audits of user input handling mechanisms. The remediation approach should focus on both immediate patching of the input validation logic and long-term architectural improvements to prevent similar vulnerabilities in future development cycles. Security measures should include automatic encoding of user input, implementation of strict input validation rules, and regular penetration testing to identify potential injection points. Additionally, organizations should consider implementing web application firewalls and monitoring systems to detect and prevent exploitation attempts, while also establishing incident response procedures to handle potential breaches that may result from this vulnerability.