### Summary 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. ### Details 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: 1. workspaceId 2. createdDate 3. updatedDate 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: ```json { "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. ### PoC 1. Authenticate to the Flowise interface. 2. Capture the request used to update an assistant: ```http 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. ### Impact This vulnerability allows authenticated users to manipulate internal attributes of assistant resources. Confirmed impacts include: - Cross-workspace reassignment of assistants (workspaceId) - Unauthorized modification of metadata (createdDate, updatedDate) In multi-tenant deployments, this may allow an attacker to move assistants between workspaces without authorization, breaking tenant isolation boundaries.
### Summary 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. ### Details 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: 1. workspaceId 2. createdDate 3. updatedDate 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: ```json { "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. ### PoC 1. Authenticate to the Flowise interface. 2. Capture the request used to update an assistant: ```http 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. ### Impact This vulnerability allows authenticated users to manipulate internal attributes of assistant resources. Confirmed impacts include: - Cross-workspace reassignment of assistants (workspaceId) - Unauthorized modification of metadata (createdDate, updatedDate) In multi-tenant deployments, this may allow an attacker to move assistants between workspaces without authorization, breaking tenant isolation boundaries.
Update flowise to 3.1.2 if you use the affected versions. Test the change in a non-production environment first.
Local check
hol-guard supply-chain scanFlowiseAI has Mass Assignment in Assistant Update Endpoint that Allows Cross-Workspace Resource Reassignment affects flowise (npm). Severity is high. ### Summary 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. ### Details 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: 1. workspaceId 2. createdDate 3. updatedDate 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: ```json { "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. ### PoC 1. Authenticate to the Flowise interface. 2. Capture the request used to update an assistant: ```http 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. ### Impact This vulnerability allows authenticated users to manipulate internal attributes of assistant resources. Confirmed impacts include: - Cross-workspace reassignment of assistants (workspaceId) - Unauthorized modification of metadata (createdDate, updatedDate) In multi-tenant deployments, this may allow an attacker to move assistants between workspaces without authorization, breaking tenant isolation boundaries.
AI coding agents often install or upgrade packages automatically in npm. A high vulnerability in a dependency can be pulled into a project through a normal install or update without a human reviewing the change, expanding the blast radius from a single package to every agent workspace that depends on it.
| Package | Affected range | Fixed version |
|---|---|---|
| flowisenpm | <=3.1.1 | 3.1.2 |
Fixed versions are reported by the source feed; confirm compatibility before updating.
Reported by GitHub Security Advisories (ghsa).
HOL Guard can help your team review package activity against supported protection paths.
Explore HOL GuardUpdate flowise to 3.1.2 if you use the affected versions. Test the change in a non-production environment first.
Local check
hol-guard supply-chain scanFlowiseAI has Mass Assignment in Assistant Update Endpoint that Allows Cross-Workspace Resource Reassignment affects flowise (npm). Severity is high. ### Summary 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. ### Details 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: 1. workspaceId 2. createdDate 3. updatedDate 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: ```json { "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. ### PoC 1. Authenticate to the Flowise interface. 2. Capture the request used to update an assistant: ```http 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. ### Impact This vulnerability allows authenticated users to manipulate internal attributes of assistant resources. Confirmed impacts include: - Cross-workspace reassignment of assistants (workspaceId) - Unauthorized modification of metadata (createdDate, updatedDate) In multi-tenant deployments, this may allow an attacker to move assistants between workspaces without authorization, breaking tenant isolation boundaries.
AI coding agents often install or upgrade packages automatically in npm. A high vulnerability in a dependency can be pulled into a project through a normal install or update without a human reviewing the change, expanding the blast radius from a single package to every agent workspace that depends on it.
| Package | Affected range | Fixed version |
|---|---|---|
| flowisenpm | <=3.1.1 | 3.1.2 |
Fixed versions are reported by the source feed; confirm compatibility before updating.
Reported by GitHub Security Advisories (ghsa).
HOL Guard can help your team review package activity against supported protection paths.
Explore HOL Guard