bloodpressurereadings.co.uk

High Trust Rating. This Site Looks Safe To Use.
Trustscore
78%
This webshop has not yet been claimed
High Risk
Safe
78%
Looks Safe

Facts about bloodpressurereadings.co.uk

Company data
Address Flat 5 258a Stamford Hill
Postalcode N16 6TU
City London
Country UK
Country Likelihood United States: 56% / United Kingdom: 44%
Webshop data
Website bloodpressurereadings.co.uk
Website country United States
Domain age 2 Years, 281 Days
Website Speed Slow
Website value $ 152.59
50 Report Requests
Last updated: 15-03-2019

Analysis of bloodpressurereadings.co.uk

Although this website appears to be based in United States there are other countries involved and you should review this information carefully and decide if it is as you expect.


Positive & Negative Findings

The Scamadviser trust score is based on a technical analysis of public information. Scamadviser uses a artificial intelligence algorithm to do over 40 checks to estimate the possibility of an online site being a scam or legit.

Trustscore
78%
Negative highlights
According to Alexa this site has a low Alexa rank of 15787889
The speed of this website appears to be slower than average.
This website has not had any feedback on other sites
The website expected life (365 days) is relatively short.
This website's setup involves 2 countries
Positive highlights
None

Technical information about bloodpressurereadings.co.uk

Owner
Name
Zoltan Horvath
Organisation
Telephone
Street
Flat 5 258a Stamford Hill
City
London
State/Province
London
Postalcode
N16 6TU
Country
UK
E-mail
Administrator
Name
Organisation
Telephone
Street
City
State/Province
Postalcode
Country
E-mail
Technical Contact
Name
Organisation
Telephone
Street
City
State/Province
Postalcode
Country
E-mail
Server name
Target
ns64.domaincontrol.com
IP
208.109.255.42
Country
US
Region
AZ
City
Scottsdale
Zipcode
85260

Target
ns63.domaincontrol.com
IP
216.69.185.42
Country
US
Region
AZ
City
Scottsdale
Zipcode
85260

bloodpressurereadings.co.uk
How to recognize a Scam?

Scamadviser tries to identify scams, fake online stores and other online versions of fraud using a computer algoritm. While fast and efficient it is not perfect. When in doubt read our articles on additional means to recognize a bad website.

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