level-one.ru

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 level-one.ru

Company data
Country Likelihood United Kingdom: 66% / Russian Federation: 34%
Webshop data
Website level-one.ru
Website country Russian Federation
Domain age 13 Years, 240 Days
Website Speed Average
Website value $ 270.44
259 Report Requests
Last updated: 15-03-2019

Analysis of level-one.ru


This site has a high risk country associated with it. This may be as you expect but care should be taken if purchasing an item from a site that you didn't expect to be associated with the countries listed above. Certain countries are listed as being high risk because of the high percentage of online fraud or tendency to send fake/replica items.


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 8907773
No Valid SSL Cert Has Been Found
This website setup involves countries known to be high risk
This website's setup involves 2 countries
Positive highlights
None

Technical information about level-one.ru

Owner
Name
Organisation
Telephone
Street
City
State/Province
Postalcode
Country
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
IP
37.9.135.169
ISP
BCI Telecom Limited
City
Saint Petersburg
Region
66
Zipcode
190000
Registrar
Registrar website
Website value
Average

0 other websites on this server

Server name
Target
ns1.valuehost.ru
IP
217.112.42.27
Country
GB

Target
ns2.valuehost.ru
IP
217.112.35.107
Country
GB

Target
ns3.valuehost.ru
IP
217.112.37.28
Country
GB

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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