CVE-2026-23802 in AI Engine Plugin
Summary
by MITRE • 03/05/2026
Unrestricted Upload of File with Dangerous Type vulnerability in Jordy Meow AI Engine ai-engine allows Using Malicious Files.This issue affects AI Engine: from n/a through <= 3.3.2.
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Analysis
by VulDB Data Team • 03/11/2026
The CVE-2026-23802 vulnerability represents a critical security flaw in the Jordy Meow AI Engine ai-engine software, specifically targeting the file upload functionality. This vulnerability falls under the category of unrestricted file upload, which is classified as CWE-434 within the Common Weakness Enumeration framework. The flaw enables attackers to upload malicious files with dangerous file types, potentially compromising the entire system. The vulnerability affects all versions of the AI Engine from the initial release through version 3.3.2, indicating a prolonged exposure window where organizations could have been vulnerable to exploitation. This issue directly impacts the software's integrity and security posture by allowing unauthorized file uploads that could contain malware, backdoors, or other malicious payloads designed to compromise the target system.
The technical implementation of this vulnerability stems from insufficient validation and sanitization of file upload inputs within the AI Engine's processing pipeline. When users or applications upload files to the system, the software fails to properly verify the file type, content, or extension against a comprehensive whitelist of allowed formats. This absence of proper input validation creates a pathway for attackers to bypass security controls and upload files with dangerous extensions such as .php, .asp, .jsp, or other executable formats that could be executed on the server. The vulnerability is particularly concerning because it affects the AI Engine's core functionality, which processes various file types as part of its artificial intelligence operations, making the attack surface broader than typical file upload vulnerabilities. Attackers exploiting this vulnerability could potentially execute arbitrary code on the server, gain unauthorized access to system resources, or establish persistent backdoors for future exploitation.
The operational impact of this vulnerability extends beyond simple file upload functionality and represents a significant threat to system security and data integrity. Organizations utilizing the Jordy Meow AI Engine in production environments face potential compromise of their entire infrastructure, as malicious file uploads could lead to complete system takeover. The vulnerability enables attackers to perform various malicious activities including privilege escalation, data exfiltration, and establishing persistent access to the compromised system. From an attacker's perspective, this vulnerability aligns with tactics described in the MITRE ATT&CK framework under the T1190 (Exploit Public-Facing Application) and T1059 (Command and Scripting Interpreter) techniques. The potential for remote code execution through unrestricted file uploads makes this vulnerability particularly dangerous for cloud-based deployments and web applications that rely on the AI Engine for processing user-uploaded content.
Mitigation strategies for CVE-2026-23802 must address both immediate remediation and long-term security improvements to prevent similar vulnerabilities from occurring. Organizations should immediately upgrade to the latest version of the Jordy Meow AI Engine where this vulnerability has been patched and fixed. Additionally, implementing comprehensive file validation mechanisms including content type checking, file extension whitelisting, and thorough file signature verification should be enforced. The system should employ multiple layers of security controls such as restricting upload directories, implementing proper file permissions, and utilizing secure file handling practices. Network segmentation and monitoring solutions should be deployed to detect and prevent unauthorized file upload activities. Security teams should also conduct thorough code reviews and penetration testing to identify similar vulnerabilities in other components of the AI Engine and related systems. The implementation of web application firewalls and intrusion detection systems can provide additional protection against exploitation attempts, while regular security assessments should be performed to ensure that the mitigation measures remain effective against evolving attack techniques.