| Package | Affected versions | Patched versions |
|---|---|---|
| flowise | < 3.1.2 | 3.1.2 |
| flowise | < 3.1.2 | 3.1.2 |
A Mass Assignment vulnerability exists in the assistant update endpoint of FlowiseAI.
The endpoint allows authenticated users to modify server-controlled properties such as workspaceId, createdDate, and updatedDate when updating an assistant resource.
Due to missing server-side validation and authorization checks, an attacker can manipulate the workspaceId field and reassign assistants to arbitrary workspaces. This breaks tenant isolation in multi-workspace environments.
The endpoint responsible for updating assistants:
PUT /api/v1/assistants/{assistantId}
accepts a JSON request body containing assistant metadata.
However, the server does not restrict which properties may be modified by the client. As a result, user-controlled request bodies can include additional fields that should normally be controlled only by the backend.
Server-controlled fields that can be manipulated include:
These fields appear to be directly mapped to the underlying database entity without strict DTO whitelisting or authorization checks.
For example, the following request body was accepted:
{
"details": "",
"credential": "11ca7fef-c9b1-4c87-aa54-e547aed8a249",
"iconSrc": null,
"type": "CUSTOM",
"createdDate": "2026-03-06T17:31:04.000Z",
"updatedDate": "2026-03-06T17:31:55.000Z",
"workspaceId": "11111111-2222-3333-4444-555555555555"
}
This indicates that internal, server-controlled properties can be modified by an authenticated user.
PUT /api/v1/assistants/<ASSISTANT_ID>
Content-Type: application/json
Modify the request body by injecting server-controlled fields:
{
"details": "",
"credential": "11ca7fef-c9b1-4c87-aa54-e547aed8a249",
"iconSrc": null,
"type": "CUSTOM",
"createdDate": "2026-03-06T17:31:04.000Z",
"updatedDate": "2026-03-06T17:31:55.000Z",
"workspaceId": "11111111-2222-3333-4444-555555555555"
}
3.Send the request.
Observe that the response accepts and persists the attacker-controlled workspaceId and metadata fields.
This vulnerability allows authenticated users to manipulate internal attributes of assistant resources.
Confirmed impacts include:
In multi-tenant deployments, this may allow an attacker to move assistants between workspaces without authorization, breaking tenant isolation boundaries.
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