CVE-2026-4765 in Tallos Chat
Summary
by MITRE • 07/13/2026
Stored Cross-Site Scripting (XSS) vulnerability in the RD Station Conversas chat. The vulnerability resides in the ‘name’ parameter of the initialization process due to improper sanitization of user input. The vulnerability is not limited to self-exploitation: when a support agent joins the conversation, the malicious script also executes in their browser, increasing the impact. Successful exploitation of this vulnerability could allow an attacker to execute arbitrary JavaScript code within the context of the application.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Analysis
by VulDB Data Team • 07/13/2026
The stored cross-site scripting vulnerability identified in RD Station Conversas chat represents a critical security weakness that enables persistent malicious code execution within the application environment. This flaw manifests specifically in the 'name' parameter during the chat initialization process, where user input fails to undergo proper sanitization before being stored and subsequently rendered to other users. The vulnerability classifies under CWE-79 which defines improper neutralization of input during web page generation, making it a classic example of how insufficient data validation can create persistent security risks. The stored nature of this vulnerability distinguishes it from reflected XSS variants as the malicious payload remains embedded within the application's database or storage system, ensuring repeated execution whenever affected components are accessed.
The technical implementation of this flaw occurs when user-provided input containing malicious script tags is accepted without adequate filtering mechanisms. During the chat initialization phase, when users enter their name parameter, the system stores this data directly into its backend without proper encoding or validation checks. This allows attackers to inject javascript code that will execute whenever other users interact with the chat interface, particularly when support agents join conversations. The vulnerability's impact extends beyond individual user exploitation because once malicious content is stored, it propagates through the system and executes in the browsers of all subsequent users who encounter the affected data, including administrative personnel.
The operational implications of this vulnerability are severe and multifaceted in nature. Attackers can leverage this weakness to perform session hijacking, steal sensitive user credentials, access confidential conversation data, or redirect users to malicious websites. When support agents join conversations containing stored XSS payloads, their browsers become compromised environments where attackers can execute arbitrary code with the privileges of the agent's session. This creates a significant risk for organizations relying on chat support systems, as it provides attackers with potential access to sensitive customer information and internal communication channels. The vulnerability also aligns with ATT&CK technique T1531 which involves use of remote services to maintain access, as compromised agents could be used to further escalate privileges or conduct additional attacks within the network.
Mitigation strategies for this vulnerability should focus on implementing comprehensive input validation and output encoding mechanisms throughout the application stack. The primary remediation approach involves sanitizing all user inputs, particularly those stored in databases, through proper encoding techniques such as HTML entity encoding or JavaScript context encoding before storage. Additionally, implementing Content Security Policy headers can provide an additional layer of protection against malicious script execution even if input validation fails. Organizations should also consider implementing proper access controls and monitoring for unusual data patterns that might indicate attempted exploitation. The solution must address both the immediate vulnerability and prevent similar issues in other application components, as demonstrated by CWE-352 which emphasizes the importance of preventing cross-site request forgery attacks through proper validation mechanisms. Regular security testing including automated scanning and manual penetration testing should be conducted to identify potential XSS vulnerabilities across all application interfaces.