CVE-2024-12775
Published: 20 March 2025
Summary
CVE-2024-12775 is a medium-severity SSRF (CWE-918) vulnerability in Langgenius Dify. Its CVSS base score is 6.5 (Medium).
Operationally, ranked in the top 48.6% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
This vulnerability is AI-related — categorised as LLM Application Platforms; in the Supply Chain and Deployment risk domain.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-7002
Vulnerability details
langgenius/dify version 0.10.1 contains a Server-Side Request Forgery (SSRF) vulnerability in the test functionality for the Create Custom Tool option via the REST API `POST /console/api/workspaces/current/tool-provider/api/test/pre`. Attackers can set the `url` in the `servers` dictionary in OpenAI's schema with arbitrary…
more
URL targets, allowing them to abuse the victim server's credentials to access unauthorized web resources.
- 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: dify, openai
Related Threats
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.