Summary
This website contacted 92 IPs in 3 countries across 16 domains to perform 85 HTTP transactions. The main domain is shu.ac.uk.
Submitted URL: https://www.shu.ac.uk/
The Cisco Umbrella rank of the primary domain is #406,036 of the top 1 million websites
AI Security Verdict
Moderate Risk
Confidence: 72%
Site appears legitimate but low ranking and unknown age warrant cautious use.
Risk Factors
Safety Factors
Details
Page Title
Home | Sheffield Hallam University
Scan Type
public
Language
English
Category
technology software
(59%)Domain Information
The domain name 'www.shu.ac.uk' uses the United Kingdom country-code top-level domain (.ac.uk), featuring subdomain 'www'. The core label 'shu' covers 3 characters split between 1 vowel and 2 consonants. Word splitting yields 1 word: shu. Most frequently, 'shu' shows up in Malay. You will also see it in Chinese (Zhuyin) and Bosnian 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 |
|---|---|---|---|
| 85 | 3.171.214.103 | United States | AS16509AMAZON-02 |
| 0 | 23.3.89.97 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 142.250.181.232 | United States | AS15169GOOGLE |
| 0 | 143.204.215.88 | United States | AS16509AMAZON-02 |
| 0 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 23.56.205.206 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 0 | 142.250.184.234 | United States | AS15169GOOGLE |
| 0 | 172.217.18.2 | United States | AS15169GOOGLE |
| 0 | 23.3.89.96 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 18.172.112.46 | United States | AS16509AMAZON-02 |
| 85 | 92 | - | - |
Detected Technologies7
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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