CVE-2025-1291
Published: 01 March 2025
Summary
CVE-2025-1291 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in Wordpress (inferred from references). Its CVSS base score is 6.4 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 34.5th 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 Other ATLAS/OWASP Terms risk domain.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-5895
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 ‘icon’ parameter in all versions up to, and including, 3.4.9 due to insufficient input sanitization and output…
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escaping. 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
- Other ATLAS/OWASP Terms
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Matched keywords: ai
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
The stored XSS vulnerability in the WordPress plugin enables authenticated low-privilege attackers (Contributor+) to inject arbitrary JavaScript into pages, exploiting a public-facing application (T1190), executing JavaScript in victims' browsers (T1059.007), and facilitating theft of browser credentials (T1503) or web session cookies (T1539) when higher-privileged users view the pages.
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.