CVE-2024-37465 in GPT3 AI Content Writer Plugin
Summary
by MITRE • 07/22/2024
Improper Neutralization of Input During Web Page Generation (XSS or 'Cross-site Scripting') vulnerability in Senol Sahin GPT3 AI Content Writer allows Stored XSS.This issue affects GPT3 AI Content Writer: from n/a through 1.8.66.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Analysis
by VulDB Data Team • 03/17/2025
This vulnerability represents a critical cross-site scripting flaw in the Senol Sahin GPT3 AI Content Writer application that enables stored XSS attacks. The issue stems from improper input sanitization during web page generation processes where user-supplied data is not adequately neutralized before being rendered in web interfaces. Attackers can exploit this weakness by injecting malicious scripts into input fields that are subsequently stored and executed whenever other users view the affected content. The vulnerability affects all versions of the application from the initial release through version 1.8.66, indicating a long-standing security gap that has persisted across multiple updates.
The technical implementation of this flaw demonstrates a failure in input validation and output encoding mechanisms within the web application's content generation pipeline. When users submit content through the GPT3 AI Content Writer interface, the application fails to properly sanitize or escape special characters that could be interpreted as executable code by web browsers. This improper neutralization creates a persistent threat where malicious payloads remain stored within the application's database or storage systems, making them available for execution whenever legitimate users access the affected pages. The stored nature of this vulnerability means that attacks can affect multiple users over time rather than requiring immediate exploitation during a single session.
The operational impact of this stored XSS vulnerability is significant and multifaceted. Attackers can leverage this weakness to steal session cookies, perform unauthorized actions on behalf of victims, redirect users to malicious websites, or extract sensitive information from authenticated sessions. The vulnerability particularly threatens users who have administrative privileges or access to sensitive content within the application. Additionally, the stored nature of the attack vector allows for extended persistence, enabling attackers to maintain access and execute malicious activities over prolonged periods. This vulnerability directly aligns with CWE-79 which defines cross-site scripting as a common web application security flaw, and represents a clear violation of secure coding practices that should prevent user input from being directly rendered without proper sanitization.
Mitigation strategies for this vulnerability must address both immediate remediation and long-term security improvements. The primary fix involves implementing comprehensive input sanitization and output encoding mechanisms throughout the application's data processing pipeline, ensuring all user-supplied content is properly escaped before being stored or displayed. Organizations should implement Content Security Policy headers to limit script execution, employ proper parameterized queries to prevent injection attacks, and conduct regular security testing including automated scanning and manual penetration testing. The application should also implement proper access controls and input validation at multiple layers including client-side, server-side, and database levels. Security patches should be deployed immediately to all affected versions, with a complete overhaul of input handling mechanisms to prevent similar vulnerabilities from emerging in future releases. This remediation effort should align with ATT&CK framework techniques related to credential access and persistence, as the vulnerability enables attackers to maintain unauthorized access through session hijacking and other malicious activities that could be facilitated by the XSS flaw.