What is Vban?

53/100
Trust Score (C-)
⚠️ Use Caution

Vban is a ios that Vban is an app that simplifies and streamlines international money transfers for freelancers, digital nomads, and global professionals. Whether you're sending, receiving, or managing funds across bord. It has a Nerq Trust Score of 53/100 (C-). 74 GitHub stars. Published by TM Payment Ltd. Last analyzed July 2026.

Why This Score

Trust & Safety Overview

53
TRUST SCORE
C-
GRADE
74
STARS
74
DOWNLOADS

What Vban Does

Vban is a ios in the ios category. Vban is an app that simplifies and streamlines international money transfers for freelancers, digital nomads, and global professionals. Whether you're sending, receiving, or managing funds across borders, Vban offers a fast, transparent, and secure solution for you. Designed with a user-first approach, Vban makes it easy to handle your finances no matter where you are in the world. Say goodbye to. It is published by TM Payment Ltd and has no specified license. With 74 GitHub stars and 74 downloads, it has a small community of users and contributors.

Who Should Use Vban

Vban is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorTM Payment Ltd
Categoryios
LicenseNot specified
Typeios
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=vban

Setup guide · Full safety report · Production review · Is it safe?

Frequently Asked Questions

What is Vban used for?
Vban is a ios tool. Vban is an app that simplifies and streamlines international money transfers for freelancers, digital nomads, and global professionals. Whether you're sending, receiving, or managing funds across bord.
Is Vban free?
License: Check project page. Vban has 74 GitHub stars.
Is Vban safe?
Vban has a Nerq Trust Score of 53/100 (C-). Use with caution.
What are alternatives to Vban?
Top alternatives: . See full comparison.

Last updated July 2026. Trust scores based on automated analysis of public data.

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