Summary
This website contacted 101 IPs in 3 countries across 4 domains to perform 50 HTTP transactions. The main domain is capitalccg.ac.uk.
Submitted URL: https://www.capitalccg.ac.uk/westking
AI Security Verdict
Safe Website
Confidence: 95%
0
Risk Score
The site appears legitimate with no malicious activity detected.
Safety Factors
Official educational institution domain
Absence of malicious Indicators of Compromise
No login or payment forms present
Clear and consistent branding with the college
Domain age information unavailable
Details
Page Title
Westminster Kingsway College - Capital City College
Scan Type
public
Language
🇺🇸
(80% confidence)English
Category
education
(45%)Screenshot

Page Load Overview
3.68s
Total Load Time
50
HTTP Requests
4
Domains
753 KB
Total Size
Language Analysis
Primary Language
🇺🇸English
Code: enConfidence:80%
Script:Latin
Direction:ltr
Detection Details
Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-GB
Text Length:18,482 chars
Detector Agreement:100%
Website Classification
Primary Category
education45% confidence
Type: spa
Method: ml+structural
All Detected Categories
education
45%
technology software
27%
news/blog
20%
Detected Features
OG: article
Schema.org
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 50 | 172.65.192.122 | United States | AS13335CLOUDFLARENET |
| 0 | 104.18.11.207 | United States | AS13335CLOUDFLARENET |
| 0 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 0 | 37.252.172.123 | Frankfurt am Main, Hesse, Germany | AS29990ASN-APPNEX |
| 0 | 166.117.227.218 | United States | AS16509AMAZON-02 |
| 0 | 172.65.202.201 | United States | AS13335CLOUDFLARENET |
| 0 | 172.217.18.8 | United States | AS15169GOOGLE |
| 0 | 172.65.238.60 | United States | AS13335CLOUDFLARENET |
| 0 | 141.101.90.99 | United States | AS13335CLOUDFLARENET |
| 0 | 172.65.198.159 | United States | AS13335CLOUDFLARENET |
| 237 | 101 | - | - |
Detected Technologies19
100%
100%
100%
50%
50%
50%
50%
40%
40%
40%
20%
20%
20%
20%
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
T159440833D558202B021B9798BDA0A37D312B8217CB170AE9F5EC83686BC6FD15D6778D
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
3072:K2YtQ+k1I22QfRnPP6psCAsYRuAStuDrx+BSZv2qM9nirLKGuKWX5bvKm:K2eQVmsCAAASkFZvrMfv1
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
sdhash:3:261233:AgIGRMYgwRHg3IOICERiYhIpHAwllFUQ0CYYRRwEFFQpEEZaUSAeBR2gTEBdroEQCGABMPgUAYQkDqiMw4AqaPkCUBDATkYk
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Average Hash:0000ffffffffffff
Perceptual Hash:9d14265b9be4c49b
Difference Hash:babaa6267b322f2b
Wavelet Hash:00003fb7bf9e87d1
Color Hash:#e06ccc
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data