CVE-2024-54306
Published: 13 December 2024
Summary
CVE-2024-54306 is a medium-severity CSRF (CWE-352) vulnerability. Its CVSS base score is 4.3 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 36.9th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
This vulnerability is AI-related — categorised as Enterprise AI Assistants; in the Other ATLAS/OWASP Terms risk domain; MITRE ATLAS techniques in scope: AI Model Inference API Access (AML.T0040), LLM Prompt Injection (AML.T0051), External Harms (AML.T0048).
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-52429
Vulnerability details
Cross-Site Request Forgery (CSRF) vulnerability in aitool AIKCT Engine Chatbot, ChatGPT, Gemini, GPT-4o Best AI Chatbot ai-seo-translator allows Cross Site Request Forgery.This issue affects AIKCT Engine Chatbot, ChatGPT, Gemini, GPT-4o Best AI Chatbot: from n/a through <= 1.6.2.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Enterprise AI Assistants
- Risk Domain
- Other ATLAS/OWASP Terms
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- The vulnerability affects 'KCT AIKCT Engine Chatbot, ChatGPT, Gemini, GPT-4o Best AI Chatbot', a chatbot application integrating multiple AI models, fitting the Enterprise AI Assistants category as it provides AI-driven chat interfaces.
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
CSRF vulnerability enables exploitation of the public-facing web application (chatbot plugin).
MITRE ATLAS TechniquesAI
MITRE ATLAS techniques
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Awareness training educates users on avoiding untrusted links and actions that can be exploited via CSRF.
Requiring user re-entry of credentials for sensitive actions prevents automated forgery of requests without active user participation.
Security testing regimens explicitly include checks for missing or ineffective anti-CSRF protections in web applications.
Detects anomalous request patterns consistent with cross-site request forgery.