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GHSA-fvcw-9w9r-pxc7
No affected components available
Description: Flowise exposes an HTTP Node in AgentFlow and Chatflow that performs server-side HTTP requests using user-controlled URLs. By default, there are no restrictions on target hosts, including private/internal IP ranges (RFC 1918), localhost, or cloud metadata endpoints. This enables Server-Side Request Forgery (SSRF), allowing any user interacting with a publicly exposed chatflow to force the Flowise server to make requests to internal network resources that are inaccessible from the public internet.
Impact includes:
- Access to internal admin panels (e.g., internal company dashboards, Jenkins, Kubernetes API, etc.).
- Retrieval of cloud provider metadata (e.g., AWS IMDSv1 at [http://169.254.169.254], GCP, Azure).
- Port scanning and enumeration of internal services.
- Potential lateral movement or privilege escalation in compromised environments.
This vulnerability is particularly severe because:
- Flowise instances are often deployed publicly without authentication (FLOWISE_USERNAME/PASSWORD not set by default).
- The HTTP Node is easily accessible in simple flows with minimal configuration.
Proof of Concept (PoC): A minimal flow consisting of three nodes demonstrates successful internal network access: Flow Structure: <img width="1131" height="323" alt="image" src="https://github.com/user-attachments/assets/f6ddc74f-3ae9-4376-995a-693fb272627a" /> HTTP Node Configuration: The HTTP Node is configured to perform a GET request to an internal address on localhost: URL: http://127.0.0.1:8000 (or any internal service) <img width="568" height="759" alt="image" src="https://github.com/user-attachments/assets/a5735e1f-f735-4d01-9d72-a772963254c8" />
Successful Response from Internal Service: When the flow is triggered via chat input, the Flowise server successfully retrieves and returns content from the internal mock server running on port 8000 within the same container/network: <img width="377" height="627" alt="image" src="https://github.com/user-attachments/assets/ff3fcfc6-4957-4aae-9c9d-13b4fca1d0ef" />
Impact This is a Server-Side Request Forgery (SSRF) vulnerability with both read and write capabilities. The HTTP Request node supports all standard HTTP methods (GET, POST, PUT, PATCH, DELETE), allowing attackers to not only retrieve sensitive information but also modify, create, or delete data on internal services if those services expose mutable endpoints:
- Read access: Retrieval of sensitive internal data, cloud provider metadata (e.g., AWS IAM credentials at http://169.254.169.254/latest/meta-data/iam/security-credentials/), secrets, configuration files, or database contents.
- Write access: Modification or deletion of internal resources via POST/PUT/PATCH/DELETE methods (e.g., creating malicious users/configurations, overwriting files, deleting data, triggering destructive actions on internal admin panels, CI/CD systems like Jenkins, Kubernetes APIs, or cloud management interfaces). Amplification: Retrieved cloud credentials can be used for further privilege escalation or lateral movement outside the n8n instance.
Suggested Long-term Fix (for Flowise):
- Add optional security controls to HTTP Node:
- Toggle: "Block private IP ranges and localhost" (enabled by default).
- Field: "Allowed domains" (whitelist).
- Display prominent warning when URL field uses template variables (e.g., {{ }}).
- Update documentation with explicit SSRF risks and best practices.
The vulnerability can be exploited over the network without needing physical access. It is difficult for an attacker to exploit this vulnerability and may require special conditions. An attacker needs basic access or low-level privileges. No user interaction is needed for the attacker to exploit this vulnerability. The impact is confined to the system where the vulnerability exists. There is a high impact on the confidentiality of the information. There is a high impact on the integrity of the data. There is a low impact on the availability of the system.
Exploitation attempts have been detected. Elevated vigilance and prompt remediation are advised.
The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.
We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.
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