Scams & Safety

What official entry rules alone do not tell you

Search by traveller and destination. We keep legal requirements, government warnings, traveller-friction evidence and community experience separate so a few anecdotes never become a country-wide claim.

TRANSPORT

Taxi / commission diversions

Meter refusal, unofficial drivers and detours can be tied to the city or location where evidence supports them.

GOVERNMENT FORMS

Unnecessary paid intermediaries

When an official process is free, the official fee and government source come before commercial alternatives.

TRAVELLER FRICTION

Nationality-specific warnings

Real-world scrutiny can differ by passport. A warning can apply to one traveller group without labelling an entire country.

Official-site checker

Is this the source we recognise?

Paste a travel, visa, arrival-form or airport URL. The checker compares its domain with the sources registered for the selected destination. An unrecognised domain is a caution signal, not proof of fraud.

This checks only against domains already registered in the verification engine. It never labels an unknown website a scam automatically.
Evidence discipline

Warnings are not popularity scores

The engine labels the provenance of each warning so government fact, practical operating information, reputable reporting and traveller/community signals cannot be mistaken for one another.

OFFICIAL EVIDENCE

Government / diplomatic

Used for enforcement notices, official warnings, border-friction acknowledgement and government-service guidance.

PRACTICAL GUIDANCE

Operator / tourism source

Airport, transport, telecom or official-tourism sources can describe how a service operates without becoming immigration law.

REPORTING CONTEXT

Reputable reporting

Useful for documented traveller friction and current context. Reporting alone cannot verify high-risk entry law.

COMMUNITY SIGNAL

Traveller experience

Used only as a clearly labelled signal. It is never presented as government fact.

Sentiment rule: the public labels are Strong positive traveller sentiment, Mixed experiences, Frequent recent complaints and Limited evidence. Stronger sentiment labels require a transparent dataset, sample size and time range. Without that methodology, the engine degrades the label to Limited evidence and does not publish invented percentages.