GHSA-CHM3-VQCF-52RX

Vulnerability from github – Published: 2026-08-04 17:51 – Updated: 2026-08-04 17:51

Summary

Flowise: Cross-workspace credential IDOR in openai-assistants-vector-store

Details

Summary

These endpoints accept a client-controlled credential parameter. The server loads credentials by id and uses them directly, without checking whether that credential belongs to the caller’s workspace. If an attacker knows another workspace’s credentialId, they can use that workspace’s OpenAI key.

Details

Route permissions (assistants:*) only check feature access. They do not check credential ownership. The controller passes req.query.credential straight to the service. The service does findOneBy({ id: credentialId }), decrypts the credential, and calls OpenAI APIs. There is no workspaceId check in this flow, so this is an IDOR.

Impact

Cross-workspace unauthorized use of stored OpenAI keys.
Unauthorized read/modify/delete of victim vector stores and files.
Direct billing impact on victim OpenAI account.
Multi-tenant boundary violation with practical exploitability.

Reproduction steps

Set up two workspaces: A (attacker) and B (victim), each with an OpenAI credential.
Log in as a user in workspace A (with assistants-related permissions).
Call /api/v1/openai-assistants-vector-store and set credential to B’s credential ID.
Example: GET /api/v1/openai-assistants-vector-store?credential=<B_credentialId>.
If responses/actions are executed using B’s credential context, the issue is confirmed.

Severity

7.1 (High)


                  
                    CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:H/VI:N/VA:N/SC:N/SI:H/SA:H

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{
  "affected": [
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c= 3.1.2"
      },
      "package": {
        "ecosystem": "npm",
        "name": "flowise"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "3.1.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-70472"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-285",
      "CWE-863"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-08-04T17:51:48Z",
    "nvd_published_at": null,
    "severity": "HIGH"
  },
  "details": "# Summary \n\nThese endpoints accept a client-controlled `credential` parameter. The server loads credentials by `id` and uses them directly, without checking whether that credential belongs to the caller\u2019s workspace. If an attacker knows another workspace\u2019s `credentialId`, they can use that workspace\u2019s OpenAI key.\n\n# Details\n\nRoute permissions (`assistants:*`) only check feature access. They do not check credential ownership. The controller passes `req.query.credential` straight to the service. The service does `findOneBy({ id: credentialId })`, decrypts the credential, and calls OpenAI APIs. There is no `workspaceId` check in this flow, so this is an IDOR.\n\n# Impact \n\n\n- Cross-workspace unauthorized use of stored OpenAI keys.\n- Unauthorized read/modify/delete of victim vector stores and files.\n- Direct billing impact on victim OpenAI account.\n- Multi-tenant boundary violation with practical exploitability.\n\n# Reproduction steps  \n\n1. Set up two workspaces: A (attacker) and B (victim), each with an OpenAI credential.  \n2. Log in as a user in workspace A (with assistants-related permissions).  \n3. Call `/api/v1/openai-assistants-vector-store` and set `credential` to B\u2019s credential ID.  \n4. Example: `GET /api/v1/openai-assistants-vector-store?credential=\u003cB_credentialId\u003e`.  \n5. If responses/actions are executed using B\u2019s credential context, the issue is confirmed.",
  "id": "GHSA-chm3-vqcf-52rx",
  "modified": "2026-08-04T17:51:48Z",
  "published": "2026-08-04T17:51:48Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-chm3-vqcf-52rx"
    },
    {
      "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"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:H/VI:N/VA:N/SC:N/SI:H/SA:H",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Flowise: Cross-workspace credential IDOR in openai-assistants-vector-store"
}

CVE-2026-70472 (GCVE-0-2026-70472)

Vulnerability from cvelistv5 – Published: 2026-08-04 17:46 – Updated: 2026-08-05 15:01

Title

Flowise: Cross-workspace credential IDOR in openai-assistants-vector-store

Summary

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, Flowise openai-assistants-vector-store endpoints accept a client-controlled credential parameter and load credentials by id without checking whether that credential belongs to the caller workspace. Route permissions assistants:* only check feature access. The controller passes req.query.credential straight to the service, and the service uses findOneBy({ id: credentialId }), decrypts the credential, and calls OpenAI APIs without a workspaceId check. If an attacker knows another workspace credentialId, the attacker can use that workspace OpenAI key, read, modify, or delete victim vector stores and files, cause billing impact on the victim OpenAI account, and violate multi-tenant boundaries. This issue is fixed in version 3.1.3.

Severity

7.1 (High)


                        
                          CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:H/VI:N/VA:N/SC:N/SI:H/SA:H

SSVC

Exploitation: poc Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-08-05 15:00 UTC

CWE

CWE-285 - Improper Authorization
CWE-863 - Incorrect Authorization

Assigner

GitHub_M mitre root

References

4 references

URL	Tags
https://github.com/FlowiseAI/Flowise/security/adv…	x_refsource_CONFIRM
https://github.com/FlowiseAI/Flowise/pull/6170	x_refsource_MISC
https://github.com/FlowiseAI/Flowise/commit/d8148…	x_refsource_MISC
https://github.com/FlowiseAI/Flowise/releases/tag…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
FlowiseAI	Flowise	Affected: < 3.1.3

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2026-70472",
                "options": [
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                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-08-05T15:00:56.335227Z",
                "version": "2.0.3"
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          "shortName": "CISA-ADP"
        },
        "references": [
          {
            "tags": [
              "exploit"
            ],
            "url": "https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-chm3-vqcf-52rx"
          }
        ],
        "title": "CISA ADP Vulnrichment"
      }
    ],
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          "product": "Flowise",
          "vendor": "FlowiseAI",
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        {
          "lang": "en",
          "value": "Flowise is a drag \u0026 drop user interface to build a customized large language model flow. Prior to 3.1.3, Flowise openai-assistants-vector-store endpoints accept a client-controlled credential parameter and load credentials by id without checking whether that credential belongs to the caller workspace. Route permissions assistants:* only check feature access. The controller passes req.query.credential straight to the service, and the service uses findOneBy({ id: credentialId }), decrypts the credential, and calls OpenAI APIs without a workspaceId check. If an attacker knows another workspace credentialId, the attacker can use that workspace OpenAI key, read, modify, or delete victim vector stores and files, cause billing impact on the victim OpenAI account, and violate multi-tenant boundaries. This issue is fixed in version 3.1.3."
        }
      ],
      "metrics": [
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          "cvssV4_0": {
            "attackComplexity": "LOW",
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            "attackVector": "NETWORK",
            "baseScore": 7.1,
            "baseSeverity": "HIGH",
            "privilegesRequired": "LOW",
            "subAvailabilityImpact": "HIGH",
            "subConfidentialityImpact": "NONE",
            "subIntegrityImpact": "HIGH",
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      "providerMetadata": {
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      "source": {
        "advisory": "GHSA-chm3-vqcf-52rx",
        "discovery": "UNKNOWN"
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    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2"
}

Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Detection rules are retrieved from Rulezet.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.

Action not permitted

GHSA-CHM3-VQCF-52RX

Summary

Details

Impact

Reproduction steps

CVE-2026-70472 (GCVE-0-2026-70472)

Tags

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Nomenclature

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