CVE-2024-6843
Published: 19 August 2024
Summary
CVE-2024-6843 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in Webdigit Chatbot With Chatgpt. Its CVSS base score is 6.1 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 16.8% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
This vulnerability is AI-related — categorised as Enterprise AI Assistants; in the Other ATLAS/OWASP Terms risk domain.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-47847
Vulnerability details
The Chatbot with ChatGPT WordPress plugin before 2.4.5 does not sanitise and escape user inputs, which could allow unauthenticated users to perform Stored Cross-Site Scripting attacks against admins
- 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 a WordPress plugin ('Chatbot with ChatGPT' or 'SmartSearch WP') that integrates ChatGPT (an LLM-based AI assistant) via OpenAI API, providing chatbot functionality on websites, fitting the Enterprise AI Assistants category as it deploys AI assistant capabilities in a web/enterprise context.
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
The unauthenticated Stored XSS vulnerability enables exploitation of a public-facing WordPress application (T1190) and facilitates arbitrary JavaScript execution (T1059.007) in the browser context of administrators when viewing the affected error logs page.
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.
Penetration testing submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.
Validates web inputs to reject script-related content that could produce XSS.
Output validation against expected content can reject or sanitize script content in generated web pages, reducing XSS exploitability.