CVE-2025-5570
Published: 08 July 2025
Summary
CVE-2025-5570 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in Meowapps Ai Engine. Its CVSS base score is 5.4 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique JavaScript (T1059.007); ranked at the 31.0th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
This vulnerability is AI-related — categorised as LLM Application Platforms; in the Other ATLAS/OWASP Terms risk domain.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-20373
Vulnerability details
The AI Engine plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the mwai_chatbot shortcode 'id' parameter in all versions up to, and including, 2.8.4 due to insufficient input sanitization and output escaping. This makes it possible for authenticated…
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attackers, with Subscriber-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
- LLM Application 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?
Stored XSS enables arbitrary JavaScript execution (T1059.007) in users' browsers via compromised WordPress pages (T1189, T1190), facilitating drive-by compromise and theft of web session cookies or browser credentials (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.