Summary
This website contacted 15 IPs in 3 countries across 6 domains to perform 47 HTTP transactions. The main domain is royalsociety.org and was registered NaN years ago.
Submitted URL: https://royalsociety.org/
The Cisco Umbrella rank of the primary domain is #488,795 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 80%
Site appears legitimate with minimal risk.
Safety Factors
Details
Page Title
Welcome to the Royal Society | Royal Society
Scan Type
public
Language
English
Category
government public service
(34%)Domain Information
The domain name 'royalsociety.org' uses the non-profit oriented generic top-level domain (.org) while skipping any subdomain. The registrable portion 'royalsociety' spans 12 characters with 5 vowels and 7 consonants. Splitting it apart reveals 2 words: royal, society. Median word length is 6 characters. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 30 | 131.145.23.143 | London, England, United Kingdom | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 11 | 172.64.155.119 | United States | AS13335CLOUDFLARENET |
| 5 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 104.18.32.137 | United States | AS13335CLOUDFLARENET |
| 3 | 184.24.77.146 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 216.58.206.72 | United States | AS15169GOOGLE |
| 3 | 2a02:26f0:3500:8::210:a5d | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 2a02:26f0:3500:8::210:a48 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 2a06:98c1:3104::6812:2089 | United States | AS13335CLOUDFLARENET |
| 47 | 15 | - | - |
Content Similarity HashesFor malware variant detection
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Scan History
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