Summary
This website contacted 3 IPs in 2 countries across 3 domains to perform 2 HTTP transactions. The main domain is wales.ac.uk and was registered NaN years ago.
Submitted URL: http://www.wales.ac.uk
Effective URL: https://www.wales.ac.uk/Redirected
AI Security Verdict
Safe Website
Confidence: 95%
The site is a legitimate university website with no malicious indicators.
Safety Factors
Details
Page Title
University of Wales
Scan Type
public
Language
English
Category
government public service
(57%)Domain Information
Within the United Kingdom country-code top-level domain (.ac.uk), 'www.wales.ac.uk' is registered and includes subdomain 'www'. The registrable portion 'wales' spans 5 characters split between two vowels and three consonants. Splitting it apart reveals one word: wales. The median word length lands at five 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 |
|---|---|---|---|
| 16 | 172.65.208.22 | United States | AS13335Cloudflare, Inc. |
| 15 | 20.250.198.32 | Zurich, Zurich, Switzerland | AS8075Microsoft Corporation |
| 15 | 143.204.181.52 | United States | AS16509Amazon.com, Inc. |
| 46 | 3 | - | - |
Detected Technologies10
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