CVE-2024-6722
Published: 04 September 2024
Summary
CVE-2024-6722 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in Mansurahamed Chatbot Support Ai. Its CVSS base score is 4.8 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Keylogging (T1056.001); ranked at the 39.3th percentile by exploit likelihood (below the median); 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-2024-47759
Vulnerability details
The Chatbot Support AI: Free ChatGPT Chatbot, Woocommerce Chatbot WordPress plugin through 1.0.2 does not sanitise and escape some of its settings, which could allow high privilege users such as admin to perform Stored Cross-Site Scripting attacks even when the…
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unfiltered_html capability is disallowed (for example in multisite setup)
- 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 named 'Chatbot Support AI: Free ChatGPT Chatbot, Woocommerce Chatbot', which integrates ChatGPT (an LLM) as a support chatbot assistant, fitting the Enterprise AI Assistants category despite being a plugin.
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Stored XSS allows admins to inject arbitrary JavaScript into chatbot settings, executing in victims' browsers on page load to enable keylogging, GUI input capture, clipboard data theft, browser session hijacking, web session cookie theft, and extraction of credentials from web browsers.
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.