GHSA-9hrv-gvrv-6gf2 — flowise
GHSA-9hrv-gvrv-6gf2 is a Server-Side Request Forgery (SSRF) vulnerability in flowise. A fix is available for flowise — see the affected versions and patch details below.
Flowise Execute Flow function has an SSRF vulnerability
Exploitation Status
No confirmed exploitation observed yet
- CISA’s own triage has not observed active exploitation or public proof-of-concept code for this CVE as of its last assessment.
Exploitation and automatability from CISA’s SSVC triage for GHSA-9hrv-gvrv-6gf2.
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.
Real-World Exposure
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.
flowisenpmflowise-componentsnpmDescription
Summary
The attacker provides an intranet address through the base url field configured in the Execute Flow node → Bypass checkDenyList / resolveAndValidate in httpSecurity.ts (not called) → Causes the server to initiate an HTTP request to any internal network address, read cloud metadata, or detect internal network services
Details
<img width="1280" height="860" alt="9a52a74e6fe2fd78e4962d1d68057fc2" src="https://github.com/user-attachments/assets/20df0006-9129-4886-8928-16d19a617c23" />Then initiate the call:
POST /api/v1/prediction/d6739838-d3b3-43d9-86ff-911a3d757a7e HTTP/1.1
Host: 127.0.0.1:3000
Content-Type: application/json
Authorization: Bearer apikey
Content-Length: 17
{"question": "1"}
Server received a request:
<img width="1432" height="172" alt="f45c757fec408e13739db068252ff21b" src="https://github.com/user-attachments/assets/d3dfe0f5-83ec-4c79-ab32-754382a68d5f" />And there is an echo:
<img width="1280" height="666" alt="fa0caf0deb306cfeeea8fdf8941a287e" src="https://github.com/user-attachments/assets/55a94d25-120b-4e9c-9517-46c2fc2b667f" />Fix: Call secureFetch for verification
Impact
This is a Server-Side Request Forgery (SSRF) vulnerability that may lead to the following risks:
- Explore Internal Web Applications
- Access sensitive management interfaces
- Leak internal configuration, credentials, or confidential information
This vulnerability significantly increases the risk of internal service enumeration and potential lateral movement in enterprise environments.
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 📦npm | flowise | all versions | 3.1.0npm install flowise@3.1.0 |
| 📦npm | flowise-components | all versions | 3.1.0npm install flowise-components@3.1.0 |
Detection & mitigation playbook
Open-source dependencyDetect
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.
Fix
Update flowise to 3.1.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-9hrv-gvrv-6gf2 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 Security's impact-aware SCA analyses which vulnerable code paths your application actually calls, so a match like GHSA-9hrv-gvrv-6gf2 can be triaged on real exposure rather than presence alone.
Tailored to GHSA-9hrv-gvrv-6gf2. 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-9hrv-gvrv-6gf2 in your dependencies?
O3 Security finds GHSA-9hrv-gvrv-6gf2 across npm dependencies, including transitive ones, and its impact-aware SCA ranks findings by whether your code actually calls the vulnerable path.