CVE-2024-9107 in chuanhuchatgptinfo

Summary

by MITRE • 03/20/2025

A stored cross-site scripting (XSS) vulnerability exists in the gaizhenbiao/chuanhuchatgpt repository, affecting version git 20b2e02. The vulnerability arises from improper sanitization of HTML tags in chat history uploads. Specifically, the sanitization logic fails to handle HTML tags within code blocks correctly, allowing an attacker to inject malicious scripts. This can lead to the execution of arbitrary JavaScript code in the context of the user's browser, potentially leading to identity theft or other malicious actions.

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Analysis

by VulDB Data Team • 08/01/2025

This stored cross-site scripting vulnerability in the gaizhenbiao/chuanhuchatgpt repository represents a critical security flaw that undermines the application's ability to safely process user-generated content. The vulnerability specifically affects the git version 20b2e02 and stems from inadequate input validation mechanisms within the chat history upload functionality. When users upload chat histories containing code blocks with HTML tags, the application fails to properly sanitize these elements, creating an attack vector that can be exploited by malicious actors to inject persistent malicious scripts into the application's storage system.

The technical implementation of this vulnerability demonstrates a failure in the application's HTML sanitization logic, which is designed to prevent the execution of potentially harmful content. The flaw occurs specifically within the code block handling mechanism where the sanitization process does not adequately address HTML tags that may be present within code snippets or other user-generated content. This oversight allows attackers to embed malicious script tags or other harmful HTML elements within chat history data that gets stored and subsequently rendered to other users. The vulnerability is classified as stored XSS because the malicious payload is persisted in the application's database or storage system rather than being executed through a single request, making it particularly dangerous as it can affect multiple users over time.

The operational impact of this vulnerability extends beyond simple script execution, creating potential pathways for more severe security breaches within the application ecosystem. When an attacker successfully injects malicious JavaScript code through this vector, they can execute arbitrary commands within the context of other users' browsers, potentially leading to session hijacking, credential theft, or data exfiltration. The attack surface is particularly concerning given that chat applications typically contain sensitive user communications and personal information. This vulnerability can be exploited through various attack vectors including social engineering techniques where attackers convince users to view malicious chat histories, or through automated scanning tools that identify and exploit the stored XSS flaw in the application's content management system.

Organizations and developers should implement comprehensive mitigations to address this vulnerability, starting with robust input validation and output encoding mechanisms. The primary defense involves strengthening the HTML sanitization logic to properly handle all HTML elements within code blocks and other user-generated content, ensuring that potentially malicious tags are either removed or properly escaped before storage. This approach aligns with established security practices and follows the principle of least privilege in content handling. Additionally, implementing proper content security policies and using security libraries specifically designed for HTML sanitization can significantly reduce the risk of similar vulnerabilities. The mitigation strategy should also include regular security audits of input processing functions and the implementation of automated testing procedures to detect potential XSS vulnerabilities before they can be exploited in production environments. This vulnerability demonstrates the importance of comprehensive security testing throughout the software development lifecycle and adherence to security standards such as those defined in the CWE database under category 79 for cross-site scripting vulnerabilities.

Responsible

@huntr Ai

Reservation

09/23/2024

Disclosure

03/20/2025

Moderation

accepted

CPE

ready

EPSS

0.00505

KEV

no

Activities

very low

Sources

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