CVE-2024-13360
Published: 22 January 2025
Summary
CVE-2024-13360 is a medium-severity SSRF (CWE-918) vulnerability in Aipower Aipower. Its CVSS base score is 5.4 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 37.1th 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-2024-51554
Vulnerability details
The AI Power: Complete AI Pack plugin for WordPress is vulnerable to Server-Side Request Forgery in all versions up to, and including, 1.8.96 via the wpaicg_troubleshoot_add_vector(). This makes it possible for authenticated attackers, with subscriber-level access and above, to make…
more
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
- 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?
SSRF in public-facing WordPress plugin (T1190) enables internal network service discovery (T1046), proxying requests through the server as an internal proxy (T1090.001), and exploitation of internal remote services (T1210) by querying/modifying arbitrary 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.