Cyber Resilience

CVE-2024-6722

MediumPublic PoC

Published: 04 September 2024

Published
04 September 2024
Modified
07 October 2024
KEV Added
Patch
CVSS Score v3.1 4.8 CVSS:3.1/AV:N/AC:L/PR:H/UI:R/S:C/C:L/I:L/A:N
EPSS Score 0.0018 39.3th percentile
Risk Priority 10 60% EPSS · 20% KEV · 20% CVSS

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

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…

more

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

T1056.001 Keylogging Collection
Adversaries may log user keystrokes to intercept credentials as the user types them.
T1056.002 GUI Input Capture Collection
Adversaries may mimic common operating system GUI components to prompt users for credentials with a seemingly legitimate prompt.
T1115 Clipboard Data Collection
Adversaries may collect data stored in the clipboard from users copying information within or between applications.
T1185 Browser Session Hijacking Collection
Adversaries may take advantage of security vulnerabilities and inherent functionality in browser software to change content, modify user-behaviors, and intercept information as part of various browser session hijacking techniques.
T1539 Steal Web Session Cookie Credential Access
An adversary may steal web application or service session cookies and use them to gain access to web applications or Internet services as an authenticated user without needing credentials.
T1555.003 Credentials from Web Browsers Credential Access
Adversaries may acquire credentials from web browsers by reading files specific to the target browser.
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

mansurahamed
chatbot support ai
≤ 1.0.2

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.

addresses: CWE-79

Penetration testing submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.

addresses: CWE-79

Validates web inputs to reject script-related content that could produce XSS.

addresses: CWE-79

Output validation against expected content can reject or sanitize script content in generated web pages, reducing XSS exploitability.

References