Summary
This website contacted 50 IPs in 5 countries across 20 domains to perform 145 HTTP transactions. The main domain is wolvcoll.ac.uk.
Submitted URL: https://www.wolvcoll.ac.uk/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate college website with no security concerns detected.
Safety Factors
Details
Page Title
City of Wolverhampton College
Scan Type
public
Language
English
Category
adult content
(95%)Domain Information
The domain 'www.wolvcoll.ac.uk' uses the United Kingdom country-code top-level domain (.ac.uk), featuring subdomain 'www'. The second-level label 'wolvcoll' is 8 characters long split between 2 vowels and 6 consonants. Tokenizing the label suggests 3 words: wo, lv, coll. The median word length lands at two characters. The linguistic tilt is Catalan for 'wo'. You may catch it in Vietnamese and English as well.
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 |
|---|---|---|---|
| 81 | 91.197.231.23 | United Kingdom | AS204436Kualo Limited |
| 14 | 84.18.217.131 | United Kingdom | AS29636Team Blue Carrier Limited |
| 12 | 20.250.198.32 | Zurich, Zurich, Switzerland | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 8 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 5 | 35.190.43.134 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 3 | 142.250.185.131 | United States | AS15169GOOGLE |
| 3 | 23.32.238.192 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 142.250.185.200 | United States | AS15169GOOGLE |
| 3 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 216.239.34.36 | United States | AS15169GOOGLE |
| 145 | 50 | - | - |
Detected Technologies12
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Scan History
Scan history not available
Unable to load historical scan data