CVE-2023-51409
Meowapps Ai Engine ≤ 1.9.99
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:HSummary
CVE-2023-51409 is a critical-severity Unrestricted Upload of File with Dangerous Type (CWE-434) vulnerability in Meowapps Ai Engine. Its CVSS base score is 10.0 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 0.9% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
This vulnerability is AI-related — categorised as LLM Application Platforms.
The strongest mitigations our analysis identified map to SI-3 (Malicious Code Protection) and CM-7 (Least Functionality) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
The vulnerability is an unrestricted upload of a file with a dangerous type (CWE-434) in the AI Engine: ChatGPT Chatbot WordPress plugin developed by Jordy Meow. It affects all versions through 1.9.98 and carries a CVSS 3.1 score of 10.0, reflecting network-accessible exploitation with no required authentication or user interaction and full impact across confidentiality, integrity, and availability with a scope change.
An unauthenticated attacker can send a crafted request to upload arbitrary files, including executable code such as PHP webshells. Successful exploitation grants remote code execution on the underlying server, enabling complete site takeover or lateral movement within the hosting environment. Public proof-of-concept code demonstrates a 0-click remote code execution path.
Patchstack advisories identify the flaw as an unauthenticated arbitrary file upload and recommend immediate upgrade to a fixed release once available. The presence of a publicly posted exploit on GitHub increases the urgency of remediation for any site running the affected plugin.
The EPSS score remains extremely high at approximately 0.93, indicating sustained exploitation interest following disclosure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-56130
Vulnerability Data
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.
- CWE(s)
AI Security AnalysisAI
- AI Category
- LLM Application Platforms
- Risk Domain
- N/A
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Matched keywords: ai, ai
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V5.1.1
Mitigating Controls (NIST 800-53 r5) AI
Malicious-code protection at entry points blocks dangerous file types from being accepted and executed.
Least functionality restricts the file types and automatic processing capabilities the system will accept.
Mobile-code controls define, authorize, and block unacceptable uploaded code before automatic processing occurs.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Restricting execution of unauthorized software directly blocks dangerous uploaded files from running.
Hardened configuration baselines can enforce allowed file types and processing rules.
Secure development practices include input validation and file-type restrictions that prevent this weakness.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Configuration and acceptance testing verify that file-upload handling enforces allowed types and does not permit dangerous content to be stored or executed.
Secure-coding guidelines and security testing explicitly address restrictions on allowed file types and upload handling, reducing the risk that dangerous file uploads are accepted without validation.
Mandated testing for malicious content and known vulnerabilities reduces the likelihood that an outsourced component will contain or accept dangerous file types that could later be uploaded or executed.
Application allow-listing and pre-use scanning of received files directly blocks the introduction of executable content that has not been vetted, eliminating the primary vector for unrestricted dangerous file uploads.