CVE-2026-42863: FlowiseAI has Mass Assignment in Chatflow Update Endpoint that Allows Cross-Workspace AgentFlow Reassignment
Summary A Mass Assignment vulnerability exists in the chatflow update endpoint of FlowiseAI. The endpoint allows clients to modify server-controlled properties such as deployed, isPublic, workspaceId, createdDate, and updatedDate when updating a chatflow object.
Published May 14, 2026 · Updated Jun 9, 2026
Affected packages
flowise
- Ecosystem
- npm
- Affected
- <= 3.1.1
- Fixed in
- 3.1.2
- Check
npm ls flowise
Advisory details
From the GitHub Advisory Database (CC BY 4.0).
Summary
A Mass Assignment vulnerability exists in the chatflow update endpoint of FlowiseAI.
The endpoint allows clients to modify server-controlled properties such as deployed, isPublic, workspaceId, createdDate, and updatedDate when updating a chatflow object.
Due to missing server-side validation and authorization checks, an authenticated user can manipulate internal attributes of a chatflow and reassign it to another workspace. This allows cross-workspace resource reassignment and unauthorized modification of deployment and visibility settings.
Details
The endpoint responsible for updating chatflows:
PUT /api/v1/chatflows/{chatflowId}
accepts a JSON request body containing the chatflow configuration (flowData) along with other metadata fields.
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.
Examples of server-controlled fields that can be manipulated include:
- deployed
- isPublic
- workspaceId
- createdDate
- updatedDate
- category
- type
These fields appear to be directly mapped to the underlying database entity when processing the update request, suggesting that the server performs a direct merge of the request body into the chatflow model without applying a strict DTO whitelist or authorization checks.
For example, modifying the request body with:
{
"deployed": true,
"isPublic": true,
"createdDate": "1999-03-06T10:59:32.000Z",
"updatedDate": "1999-03-06T13:21:34.000Z",
"workspaceId": "11111111-2222-3333-4444-555555555555"
}results in the server accepting and persisting these values.
In testing, a second workspace was created in the database and the workspaceId field was successfully modified through the API request. The chatflow was reassigned to the attacker-controlled workspace, confirming that the application does not enforce workspace ownership validation.
PoC
Authenticate to the Flowise interface.
Capture the request used to update a chatflow:
PUT /api/v1/chatflows/<CHATFLOW_ID>
Content-Type: application/json
Modify the request body by injecting additional fields:
{
"name": "test-flow",
"flowData": "{...}",
"deployed": true,
"isPublic": true,
"workspaceId": "11111111-2222-3333-4444-555555555555"
}Send the request.
Observe that the response returns the manipulated values:
{
"deployed": true,
"isPublic": true,
"workspaceId": "11111111-2222-3333-4444-555555555555"
}Verify in the database that the chatflow has been reassigned:
SELECT id, workspaceId FROM chat_flow WHERE id='<CHATFLOW_ID>';The workspaceId value reflects the attacker-supplied workspace.
Impact
This vulnerability allows authenticated users to manipulate server-controlled attributes of chatflows.
Confirmed impacts include:
- Unauthorized modification of chatflow visibility (isPublic)
- Unauthorized deployment state changes (deployed)
- Cross-workspace reassignment of chatflows (workspaceId)
- Unauthorized modification of metadata (createdDate, updatedDate)
In multi-tenant environments, this allows an attacker to move chatflows between workspaces without authorization, breaking tenant isolation boundaries.
This may enable:
- Cross-workspace workflow takeover
- Unauthorized exposure of private workflows
- Manipulation of deployed agent workflows
The issue stems from missing authorization checks and improper handling of client-controlled input in the chatflow update endpoint.
Credited to berkdedekarginoglu.
References
How this page is made: the data panel comes from the GitHub Advisory Database, CISA’s KEV catalog, the NVD and FIRST EPSS, and updates twice a day. No analysis has been written for this entry yet. Methodology
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