Summary
This website contacted 22 IPs in 4 countries across 19 domains to perform 108 HTTP transactions. The main domain is blackpool.ac.uk and was registered NaN years ago.
Submitted URL: https://www.blackpool.ac.uk/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate college website with no security concerns.
Safety Factors
Details
Page Title
Blackpool and The Fylde College
Scan Type
public
Language
English
Category
education
(90%)Domain Information
The domain name 'www.blackpool.ac.uk' uses the United Kingdom country-code top-level domain (.ac.uk); it also runs on subdomain 'www'. The core label 'blackpool' covers 9 characters containing three vowels alongside six consonants. Word splitting yields one word: blackpool. Average segment length settles at nine 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 |
|---|---|---|---|
| 24 | 95.101.74.204 | Schiphol, North Holland, Netherlands | AS20940Akamai International B.V. |
| 4 | 216.198.54.3 | United States | AS209242Cloudflare London, LLC |
| 4 | 142.251.38.91 | United States | AS15169GOOGLE |
| 4 | 216.198.53.3 | United States | AS209242Cloudflare London, LLC |
| 4 | 138.91.55.24 | Dublin, Leinster, Ireland | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 4 | 216.58.210.187 | United States | AS15169GOOGLE |
| 4 | 95.101.74.218 | Schiphol, North Holland, Netherlands | AS20940Akamai International B.V. |
| 4 | 216.58.209.195 | United States | AS15169GOOGLE |
| 4 | 64.233.161.155 | United States | AS15169GOOGLE |
| 4 | 34.160.83.37 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 108 | 22 | - | - |
Detected Technologies8
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
Other Hashes
Scan History
Scan history not available
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