Summary
This website contacted 2 IPs in 2 countries across 2 domains to perform 20 HTTP transactions. The main domain is leedsbeckett.ac.uk and was registered NaN years ago.
Submitted URL: https://leedsbeckett.ac.uk
Effective URL: https://www.leedsbeckett.ac.uk/Redirected
The Cisco Umbrella rank of the primary domain is #366,573 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 98%
Legitimate university site; no security concerns detected.
Safety Factors
Details
Page Title
Incident Hub – A website detailing any IT Incidents or Power Outages that have affected our University
Scan Type
public
Language
English
Category
education
(45%)Domain Information
Within the United Kingdom country-code top-level domain (.ac.uk), 'leedsbeckett.ac.uk' is registered. Count 12 characters in 'leedsbeckett' containing four vowels alongside 8 consonants. Tokenizing the label suggests 2 words: leeds, beckett. Average segment length settles at 6 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 |
|---|---|---|---|
| 237 | 18.134.81.66 | United Kingdom | |
| 236 | 35.176.25.201 | Belgium | |
| 473 | 2 | - | - |
Detected Technologies3
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
Unable to load historical scan data