CVE-2023-51409 in AI Engine Plugin
Summary
by MITRE • 04/12/2024
Unrestricted Upload of File with Dangerous Type vulnerability in Jordy Meow AI Engine: ChatGPT Chatbot.This issue affects AI Engine: ChatGPT Chatbot: from n/a through 1.9.98.
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Analysis
by VulDB Data Team • 01/23/2026
The vulnerability identified as CVE-2023-51409 represents a critical security flaw in the Jordy Meow AI Engine: ChatGPT Chatbot platform, specifically targeting the file upload functionality. This unrestricted file upload vulnerability allows attackers to bypass normal file type validation mechanisms and upload malicious files with dangerous extensions. The affected version range spans from the initial release through 1.9.98, indicating this flaw has persisted across multiple iterations of the software. The vulnerability falls under the category of unrestricted file uploads, which is classified as CWE-434 within the Common Weakness Enumeration framework. Such vulnerabilities are particularly dangerous because they can enable attackers to execute arbitrary code on the target system, potentially leading to complete system compromise.
The technical implementation of this vulnerability stems from inadequate input validation and sanitization within the file upload process. The system fails to properly verify file extensions, MIME types, or file contents before allowing uploads to proceed. Attackers can exploit this by uploading files with extensions such as .php, .asp, .jsp, or other server-side script extensions that can be executed by the web server. The flaw essentially creates a pathway for malicious file execution where the system treats uploaded files as legitimate content rather than potential attack vectors. This vulnerability is particularly concerning in web applications that process user-uploaded content, as it directly violates fundamental security principles of input validation and access control. The ATT&CK framework categorizes this as a technique involving "Upload Files or Scripts" under the T1105 category, which represents a common initial access vector for attackers seeking to establish persistent presence on target systems.
The operational impact of CVE-2023-51409 extends beyond simple data theft or service disruption, potentially enabling complete system compromise and persistent backdoor access. An attacker who successfully exploits this vulnerability can upload malicious scripts that execute in the context of the web server, allowing for remote code execution and privilege escalation. This could result in unauthorized access to sensitive data, system infiltration, and potential lateral movement within the network. The affected chatbot platform's functionality as an AI engine processing user interactions means that the attack surface is expanded, as users may unknowingly trigger malicious code execution through their interactions with the system. The vulnerability creates a persistent threat vector that can be exploited repeatedly, making it particularly dangerous for organizations relying on this platform for customer interactions or sensitive communications. Organizations using this software may face regulatory compliance issues and potential legal ramifications if successful exploitation leads to data breaches or system compromises. The broad version range of affected software indicates that this vulnerability has been present for an extended period, suggesting that many deployments may be exposed without proper mitigation.
Mitigation strategies for CVE-2023-51409 should focus on implementing robust input validation and file type restriction mechanisms. Organizations should immediately update to the latest available version of the Jordy Meow AI Engine: ChatGPT Chatbot platform where this vulnerability has been addressed. Additionally, implementing strict file extension whitelisting, validating file contents using multiple verification methods, and storing uploaded files outside the web root directory can significantly reduce the risk of exploitation. Security measures should include configuring web servers to reject executable file types, implementing proper access controls for uploaded files, and conducting regular security audits of file upload functionality. Network-based detection measures such as intrusion detection systems should be configured to monitor for suspicious file upload activities, while application-level logging should track all file upload operations for security analysis. The implementation of Content Security Policies and proper input sanitization techniques can further protect against exploitation attempts. Organizations should also consider implementing multi-factor authentication and regular security training for administrators to reduce the overall attack surface and improve incident response capabilities.