CVE-2025-0184
Published: 20 March 2025
Summary
CVE-2025-0184 is a medium-severity SSRF (CWE-918) vulnerability in Langgenius Dify. Its CVSS base score is 6.5 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 47.1% 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-2025-6834
Vulnerability details
A Server-Side Request Forgery (SSRF) vulnerability was identified in langgenius/dify version 0.10.2. The vulnerability occurs in the 'Create Knowledge' section when uploading DOCX files. If an external relationship exists in the DOCX file, the reltype value is requested as a…
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URL using the 'requests' module instead of the 'ssrf_proxy', leading to an SSRF vulnerability. This issue was fixed in version 0.11.0.
- 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
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
SSRF via crafted DOCX upload enables exploitation of public-facing web app (T1190), internal network service discovery (T1046), and common SSRF abuses like accessing cloud instance metadata for discovery (T1522) and credential theft (T1552.005).
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.