CVE-2024-9655
Published: 01 November 2024
Summary
CVE-2024-9655 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in Kadencewp Gutenberg Blocks With Ai. Its CVSS base score is 6.4 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique JavaScript (T1059.007); ranked at the 37.9th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
This vulnerability is AI-related — categorised as Other Platforms; in the Not Applicable risk domain.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-50076
Vulnerability details
The Gutenberg Blocks with AI by Kadence WP – Page Builder Features plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the plugin's Icon widget in all versions up to, and including, 6.6.2 due to insufficient input sanitization and…
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output escaping on user supplied attributes. This makes it possible for authenticated attackers, with contributor-level access and above, to inject arbitrary web scripts in pages that will execute whenever a user accesses an injected page.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Other Platforms
- Risk Domain
- Not Applicable
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- The CVE affects the 'Gutenberg Blocks with AI by Kadence WP' WordPress plugin, which incorporates AI features into a page builder platform, fitting under 'Other Platforms' as it is not a core ML framework, library, or specialized AI tool.
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Stored XSS allows injection of arbitrary JavaScript into pages, enabling execution via browser JavaScript interpreter (T1059.007) and theft of browser credentials or session cookies when users view affected pages (T1539, T1555.003).
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.