adobe.com

High Trust Rating. This Site Looks Safe To Use.
0 Reviews
Trustscore
100%
This webshop has not yet been claimed
High Risk
Safe
100%
Looks Safe

Facts about adobe.com

Company data
Country Likelihood United States: 62% / European Union: 29% / Singapore: 6% / United Kingdom: 3%
Webshop data
Website adobe.com
Title Adobe: Creative, marketing and document management solutions
Description Adobe is changing the world through digital experiences. We help our customers create, deliver and optimize content and applications.
Website country United States
Domain age 32 Years, 98 Days
Website Speed Slow
Website value $ 34,414,285.71
1009 Report Requests
Last updated: 22-02-2019

Analysis of adobe.com

It appears this website has had some negative online reviews and you should look into their online reputation to check the validity of the comments/reviews. Try searching on google for 'adobe.com reviews' for further information.

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.


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adobe.com

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Technical information about adobe.com

Server
IP
193.104.215.58
ISP
Level 3 Communications

20 other websites on this server

79%
88%
92%
99%
99%
100%
100%
100%
100%
Server name
Target
adobe-dns-05.adobe.com
IP
103.43.113.56
Country
SG
Region
00
City
Singapore

Target
a1-217.akam.net
IP
193.108.91.217
Country
EU

Target
adobe-dns-04.adobe.com
IP
192.147.130.168
Country
US

Target
a28-67.akam.net
IP
95.100.173.67
Country
EU

Target
a7-64.akam.net
IP
23.61.199.64
Country
US
Region
CA
City
Sacramento
Zipcode
95827

Target
a10-64.akam.net
IP
96.7.50.64
Country
US

Target
adobe-dns-03.adobe.com
IP
193.104.215.45
Country
EU

Target
a26-66.akam.net
IP
23.74.25.66
Country
US

Target
adobe-dns-01.adobe.com
IP
192.150.11.56
Country
US
Region
CA
City
San Jose
Zipcode
95110

Target
a13-65.akam.net
IP
2.22.230.65
Country
GB
Region
L1
City
Hampton
Zipcode
TW12

adobe.com
How to recognize a Scam?

Scamadviser tries to identify scams, fake webshops 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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