CVE-2025-13378
Published: 27 November 2025
Summary
CVE-2025-13378 is a medium-severity SSRF (CWE-918) vulnerability in Wordpress (inferred from references). Its CVSS base score is 6.5 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Network Service Discovery (T1046); ranked at the 35.2th 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 Supply Chain and Deployment risk domain.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-199811
Vulnerability details
The AI ChatBot with ChatGPT and Content Generator by AYS plugin for WordPress is vulnerable to Server-Side Request Forgery in all versions up to, and including, 2.7.0 via the ays_chatgpt_pinecone_upsert function. This makes it possible for unauthenticated attackers to make…
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web requests to arbitrary locations originating from the web application and can be used to query and modify information from internal services.
- CWE(s)
AI Security AnalysisAI
- AI Category
- LLM Application Platforms
- Risk Domain
- Supply Chain and Deployment
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Matched keywords: ai, chatgpt
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
SSRF vulnerability enables exploitation of public-facing WordPress plugin (T1190) and facilitates discovery of internal network services (T1046) via unauthenticated arbitrary web requests to internal locations.
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 attempts server-side requests to internal resources, identifying SSRF weaknesses for remediation.
Outbound connections to external resources can be monitored and limited at the boundary, reducing SSRF impact.
Validates server-side URLs and resource references to block SSRF attempts.
Detects server-side request forgery through monitoring of unexpected outbound connections.