| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Flowise through 3.1.4 exposes GET /api/v1/upsert-history/:id and PATCH /api/v1/upsert-history without route-level permission checks, and the backing service performs no workspace or ownership validation. getAllUpsertHistory() returns UpsertHistory rows selected solely by an attacker-supplied chatflowid, and patchDeleteUpsertHistory() deletes rows by an attacker-supplied array of record UUIDs. As a result, any authenticated low-privilege user or valid API key can read or delete document-store upsert history belonging to other users and other workspaces whenever the target chatflowId (which is exposed publicly in /chatbot/<chatflowId> share links) or row ids are known. The retrievable flowData and result fields contain embedding, record-manager and vector-store node configuration, including per-node paramValues. No patched version is available. |
| Flowise (npm packages `flowise` and `flowise-components`) through 3.1.4 looks up credentials by ID without filtering on the requesting user's workspace (findOneBy({ id: credentialId }) with no workspaceId condition) in several code paths: getAllOpenaiAssistants/getSingleOpenaiAssistant (GET /api/v1/openai-assistants and /api/v1/openai-assistants/:id), uploadFilesToAssistant (POST /api/v1/openai-assistants-file/upload/), deleteAssistant (DELETE /api/v1/assistants/:id, reachable by first importing a poisoned assistant row via POST /api/v1/export-import/import), and the shared helper used by getVoices (GET /api/v1/text-to-speech/voices). An authenticated user of one workspace can supply a credential UUID belonging to another workspace, causing the server to decrypt and use that workspace's OpenAI or ElevenLabs API key on the attacker's behalf. No patched version was available at the time of publication. |
| Flowise through 3.1.4 does not enforce authorization on the BullMQ admin dashboard. When the server runs in queue mode with the dashboard enabled and not in cloud mode (MODE=queue, ENABLE_BULLMQ_DASHBOARD=true, and !isCloud()), the /admin/queues mount is protected only by the verifyTokenForBullMQDashboard middleware, which validates the JWT but performs no role, permission, or workspace/organization scoping check; the mount also lies outside /api/v1/* so the global API gate does not apply. As a result, any authenticated user — including the lowest-privileged member of any tenant — can reach the full Bull-Board UI and view all queues and job payloads across the entire instance, including chat inputs and overrideConfig (which may carry credentials and prompts), chatflow.flowData graph definitions with custom function source code, credential IDs and system prompts, chatIds, files, and the originating orgId/workspaceId. The dashboard's write actions (retry, remove, promote, clean) are likewise usable across tenants. No patched version is available as of the advisory. |
| Flowise through 3.1.4 resolves SSO and local-password users solely by email without storing provider or subject identifier bindings, allowing attackers to authenticate as any existing user by claiming their email at any configured SSO provider. Attackers can gain complete account access including chatflows, credentials, and API keys by authenticating through a different SSO provider or local password than the victim's original registration method. |
| Flowise through 3.1.4 (Enterprise/platform mode with SSO enabled) contains an authentication bypass in the SSO login path. When an SSO callback arrives with an email matching a user whose status is INVITED, verifyAndLogin (SSOBase.ts:80-94) copies the user record from the database — including the server-stored single-use invitation tempToken — into the data passed to AccountService.register(). The register handler's token lookup, email match, and expiry checks therefore pass trivially against the server's own token instead of a caller-supplied one, and the account and its organization membership are flipped to ACTIVE. As a result, anyone able to authenticate at any configured SSO provider using a pending invitee's email address as the email claim can take over that invitation and obtain the invited user's access to the organization without ever possessing the emailed invitation token, for as long as the invitation is valid (24 hours by default). At the time of the advisory no patched version was available. |
| Flowise through 3.1.4 contains missing route-level RBAC checks on chat message endpoints that allow low-privileged API keys to read and delete chat history. Attackers with valid but low-privileged API keys can access GET and DELETE chat message routes without required flow permissions to read chat histories, prompts, model responses, and delete messages. |
| Flowise before 3.1.4 fails to validate baseURL parameters in chat-model nodes, allowing authenticated users to redirect requests to arbitrary hosts. Attackers with chatflows:create or chatflows:update permissions can exfiltrate LLM provider API keys by redirecting requests to cloud metadata services or internal hosts. |
| Flowise before 3.1.4 fails to scope enterprise organization and workspace membership APIs to the caller's tenant, allowing authenticated users to supply arbitrary organization IDs. Attackers can add themselves as organization owners, create workspaces, and gain administrative access to victim organizations by exploiting insufficient tenant isolation in the organizationuser and workspace endpoints. |
| Flowise versions before 3.1.4 contain a server-side request forgery vulnerability in Cheerio, Playwright, and Puppeteer document loader nodes that bypass SSRF protection. Attackers can provide arbitrary URLs to fetch cloud metadata, internal services, and private network resources with response content returned as document text. |
| Flowise before 3.1.4 fails to enforce workspace-level authorization checks in openai-realtime endpoints, allowing authenticated users to access tools from ChatFlows in other workspaces by supplying an unscoped chatflowid. Attackers can invoke GET and POST requests to retrieve tool definitions and execute tools from victim workspaces, triggering external side effects and accessing sensitive tool outputs. |
| Flowise through 2.2.7 fails to sanitize path segments in the document-store loader endpoint, allowing unauthenticated attackers to write files outside the storage directory. Attackers can use parent-directory sequences to escape the storage directory and overwrite application files loaded at boot for remote code execution. |
| Flowise versions before 3.1.4 contain a script injection vulnerability in Docker image build workflows where workflow_dispatch inputs are directly interpolated into shell run blocks. Attackers with repository write access can inject shell metacharacters through inputs like tag_version and node_version to execute arbitrary commands and steal AWS credentials and Docker Hub tokens. |
| Flowise before 3.1.4 contains a remote code execution vulnerability in the Custom MCP node that allows authenticated attackers to execute arbitrary code by supplying npx package names in the mcpServerConfig parameter. Attackers can invoke npx with attacker-controlled npm packages to execute code on the Flowise server. |
| A vulnerability was found in FlowiseAI Flowise up to 3.0.2. This vulnerability affects the function axios.post of the file packages/server/src/controllers/evaluations/index.ts of the component Evaluations Endpoint. The manipulation of the argument Host/X-Forwarded-Proto results in server-side request forgery. The attack may be launched remotely. The exploit has been made public and could be used. Upgrading to version 3.1.3 is able to resolve this issue. The patch is identified as 700137738bcaebefd4709021f6d6b0abcd7df0ac. It is recommended to upgrade the affected component. This vulnerability only affects products that are no longer supported by the maintainer. |
| An issue in Flowise 3.1.2 allows a remote attacker to execute arbitrary code via the /api/v1/prediction/<flowId> endpoint |
| Flowise is a low-code platform for building LLM applications. In versions up to and including 3.1.3, the POST /api/v1/node-load-method/:name endpoint is mounted without any route-level permission check and invokes component loadMethods with an attacker-controlled nodeName, loadMethod, inputs, and credential value. The selected credential is resolved by raw Credential.id via getCredentialData() and decrypted without verifying Credential.workspaceId against the caller's active or shared workspace, unlike other credential read paths which are workspace-scoped. As a result, an authenticated low-privilege user (or workspace API key) in one workspace can supply a credential ID owned by another workspace and cause Flowise to act as a confused deputy, performing third-party provider calls with the victim workspace's credential and returning provider metadata to the attacker. Statically identified affected load methods include Google Drive listFiles, Google Sheets listSpreadsheets, and AWS DynamoDB KV Storage listTables. The raw credential secret itself is not returned to the attacker. This issue is fixed in version 3.1.4. |
| Flowise versions before 3.1.4 contain an unauthenticated denial of service vulnerability in the /api/v1/text-to-speech/abort endpoint that accepts user-supplied chatflowId and chatId without ownership verification. Attackers can terminate active chatflow predictions for any user by submitting requests with known chatflow and chat identifiers, causing targeted service disruption. |
| Flowise before 3.1.4 contains a broken access control vulnerability in GET /api/v1/organizationuser that allows any authenticated organization member to retrieve the organization owner's full user record including bcrypt password hash and temporary tokens. Attackers can query the endpoint with any user ID to obtain the owner's credential hash for offline cracking, enabling account takeover of the highest-privileged account. |
| Flowise before 3.1.4 contains a validation bypass vulnerability in MCP server configuration allowing authenticated attackers remote code execution through an unvalidated cwd parameter. Attackers can bypass path validation using clean filenames in the args array while controlling the working directory to execute malicious code. |
| Flowise before 3.1.4 fails to sanitize the overrideConfig.sessionId parameter before using it in MongoDB queries within the MongoDBMemory node. Unauthenticated attackers can submit MongoDB operator objects through the prediction API to read chat history records belonging to other users from the shared collection. |
