Flowise is a drag-and-drop user interface for building customized large language model (LLM) flows. Prior to 3.1.3, Flowise GET /api/v1/upsert-history returns the entire server-wide upsert history instead of being scoped to the requesting user, tenant, or workspace. The response can exceed 100MB and includes sensitive configuration data, including Vector Store settings such as Qdrant Server URL and collection name.
The observed behavior indicates missing or insufficient authorization checks, workspace/project/tenant isolation, and pagination or limits, exposing integration parameters and infrastructure details that may enable further targeted attacks. This issue is fixed in version 3.1.3.
Attack Parameters
Attack Vector
Network
Can be exploited remotely
Attack Complexity
Low
Easy to exploit
Attack Requirements
None
No additional conditions
Privileges Required
Low
Basic privileges needed
User Interaction
None
No user interaction needed
Impact Assessment
Confidentiality
High
Complete data leak
Integrity
None
No data modification
Availability
Low
Partial disruption
CVSS Vector v4.0
Weakness Type (CWE)
Vulnerable Products
flowiseai:flowise
References 4
https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-fr6g-7cq8-fg82
https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-fr6g-7cq8-fg82
https://github.com/FlowiseAI/Flowise/pull/6170
https://github.com/FlowiseAI/Flowise/pull/6170
https://github.com/FlowiseAI/Flowise/commit/d81483b70c997ddf981acc9c49fbd9a02fa…
https://github.com/FlowiseAI/Flowise/commit/d81483b70c997ddf981acc9c49fbd9a02fa345cd
https://github.com/FlowiseAI/Flowise/releases/tag/flowise@3.1.3
https://github.com/FlowiseAI/Flowise/releases/tag/flowise@3.1.3