GHSA-fvcw-9w9r-pxc7
HIGHFlowise affected by Server-Side Request Forgery (SSRF) in HTTP Node Leading to Internal Network Access
EPSS Exploitation Probability
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.
Blast Radius
flowise📦flowise-componentsReal-time download stats are indexed for npm and PyPI packages. This vulnerability affects npm packages — download data is not available via public APIs for these ecosystems.
Description
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.
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 📦npm | flowise | all versions | 3.0.13 |
| 📦npm | flowise-components | all versions | 3.0.13 |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for flowise. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.
Fix
Update flowise to 3.0.13 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-fvcw-9w9r-pxc7 is resolved across your whole dependency graph.
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.
How O3 protects you
O3 pinpoints whether GHSA-fvcw-9w9r-pxc7 is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.
Tailored to GHSA-fvcw-9w9r-pxc7. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.
Frequently Asked Questions
Is GHSA-fvcw-9w9r-pxc7 in your dependencies?
O3 detects GHSA-fvcw-9w9r-pxc7 across npm dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.