RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine. From 0.25.2 until 0.27.3, POST /api/v1/agents/chat/completions invokes completion_openai and returns through the openai-compatible branch before UserCanvasService.accessible() checks whether the caller may access the requested agent. An authenticated user who knows another user's private agent UUID can execute that Only me workflow and read its output across the user or tenant boundary; configured tools may also cause side effects, but stronger impacts were not demonstrated.
This issue is fixed in version 0.27.3.
Attack Parameters
Attack Vector
Network
Can be exploited remotely
Attack Complexity
Low
Easy to exploit
Privileges Required
Low
Basic privileges needed
User Interaction
None
No user interaction needed
Impact Assessment
Confidentiality
High
Complete data leak
Integrity
Low
Partial data modification
Availability
None
No disruption
CVSS Vector v3.1
Weakness Type (CWE)
References 4
https://github.com/infiniflow/ragflow/commit/20180790e1a8c55553a2f3e75718f3d651…
security-advisories@github.com
https://github.com/infiniflow/ragflow/pull/19817
security-advisories@github.com
https://github.com/infiniflow/ragflow/releases/tag/v0.27.3
security-advisories@github.com
https://github.com/infiniflow/ragflow/security/advisories/GHSA-c6q8-23rp-32cv
security-advisories@github.com