Summary
This website contacted 22 IPs in 3 countries across 24 domains to perform 110 HTTP transactions. The main domain is capitalccg.ac.uk.
Submitted URL: https://www.capitalccg.ac.uk/westking
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Westminster Kingsway College - Capital City College
Scan Type
public
Language
English
Category
education learning
(48%)Domain Information
The domain 'www.capitalccg.ac.uk' uses the United Kingdom country-code top-level domain (.ac.uk), featuring subdomain 'www'. Count 10 characters in 'capitalccg' holding three vowels versus seven consonants. Splitting it apart reveals two words: capital, ccg. Average segment length settles at 5 characters. The linguistic tilt is Galician for 'capital'. Usage also turns up in Catalan and English contexts.
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 |
|---|---|---|---|
| 5 | 20.250.198.32 | Zurich, Zurich, Switzerland | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 5 | 172.65.192.122 | United States | AS13335CLOUDFLARENET |
| 5 | 185.89.210.212 | Frankfurt am Main, Hesse, Germany | AS29990ASN-APPNEX |
| 5 | 141.101.90.99 | United States | AS13335CLOUDFLARENET |
| 5 | 34.107.218.251 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 5 | 166.117.227.218 | United States | AS16509AMAZON-02 |
| 5 | 172.65.202.85 | United States | AS13335CLOUDFLARENET |
| 5 | 172.65.238.60 | United States | AS13335CLOUDFLARENET |
| 5 | 13.107.246.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 5 | 172.217.18.8 | United States | AS15169GOOGLE |
| 110 | 22 | - | - |
Detected Technologies15
Content Similarity HashesFor malware variant detection
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data