Security Scan Report: www.beds.ac.uk

Redirected to: https://www.beds.ac.uk/

Submitted: Jan 24, 2026, 4:17:17 PMCompleted: Jan 24, 2026, 4:18:37 PMpubliccompleted
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Summary

This website contacted 12 IPs in 3 countries across 12 domains to perform 235 HTTP transactions. The main domain is beds.ac.uk and was registered NaN years ago.

Submitted URL: https://www.beds.ac.uk:443/

Effective URL: https://www.beds.ac.uk/Redirected

The Cisco Umbrella rank of the primary domain is #378,604 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate university website with no security concerns.

Safety Factors
Established domain with long registration history
HTTPS connection
No credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware detected
Domain age information unavailable

Details

Page Title

Home | University of Bedfordshire

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(90%)

Domain Information

You're looking at domain 'www.beds.ac.uk:443' on the United Kingdom country-code top-level domain (.ac.uk); it also runs on subdomain 'www'. The second-level label 'beds' is 4 characters long containing one vowel alongside three consonants. Splitting it apart reveals 1 word: beds. Median word length is 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.beds.ac.uk:443/

Page Load Overview

7.53s
Total Load Time
286
HTTP Requests
22
Domains
10.5 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:11,525 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: spa
Method: structural

All Detected Categories

education
90%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3318.66.102.101Ireland
2323.36.163.13Germany
2376.76.21.21Walnut, California, United States
AS16509AMAZON-02
233.210.35.105Ashburn, Virginia, United States
AS14618AMAZON-AES
23104.17.24.14United States
AS13335CLOUDFLARENET
232.18.64.204Unknown
23142.250.185.142United States
AS15169GOOGLE
23151.101.1.229UnknownUnknown
23172.67.181.105United States
AS13335CLOUDFLARENET
23104.26.6.160United States
AS13335CLOUDFLARENET
28612--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B074737140F4083E119281C5BBF97F95AAA6F243C74B1584B2AC13655FD6CE72EAB32C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:UUE576lND8CEli8KhiQgowkA3nKpSy6ys/j+IvmQNq+l7+UoSWFkSFpyq8GasvZR:8BC4i8ki1Y11

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:339528:EBCEBAmpirIAUQ0WoBbwBghEMRcxwyUIZKyyAOBJUACm3IlFKeHAdCi4ACIQHUEiAiDGggUkUCAQIAkwWh1NAcCaLAClsBxB

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

Average Hash:ffffffff00000000
Perceptual Hash:c2d7d6505ed6d016
Difference Hash:d4c3d51509818161
Wavelet Hash:ffffffff00000000
Color Hash:#bf4090

Scan History

Scan history not available

Unable to load historical scan data