Security Scan Report: www.swansea.ac.uk

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Submitted: Oct 6, 2025, 3:59:04 PMCompleted: Oct 6, 2025, 4:01:13 PMpubliccompleted
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Summary

This website contacted 126 IPs in 5 countries across 39 domains to perform 270 HTTP transactions. The main domain is swansea.ac.uk.

Submitted URL: https://www.swansea.ac.uk/

The Cisco Umbrella rank of the primary domain is #552,275 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site appears to be the legitimate Swansea University website with no phishing or scam indicators.

Safety Factors
Official university domain with established reputation
No credential‑harvesting forms present
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Swansea University

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

cryptocurrency blockchain

(60%)

Domain Information

Domain 'www.swansea.ac.uk' uses the United Kingdom country-code top-level domain (.ac.uk), featuring subdomain 'www'. The registrable portion 'swansea' spans 7 characters split between 3 vowels and four consonants. Word splitting yields one word: swansea. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.swansea.ac.uk/

Page Load Overview

12.14s
Total Load Time
270
HTTP Requests
39
Domains
3.5 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-GB
Text Length:61,113 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain60% confidence
Type: webapp
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
60%
technology software
48%
education
45%
entertainment media
40%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2034.240.135.153Dublin, Leinster, Ireland
AS16509AMAZON-02
2142.250.184.232United States
AS15169GOOGLE
223.36.162.220Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2142.250.185.70United States
AS15169GOOGLE
2104.26.15.97United States
AS13335CLOUDFLARENET
2142.250.186.36United States
AS15169GOOGLE
2184.24.77.141Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
251.195.234.241France
AS16276OVH SAS
254.85.72.11Ashburn, Virginia, United States
AS14618AMAZON-AES
213.35.58.119United States
AS16509AMAZON-02
270126--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DD840435B0D6726F0BABC6F01296E71795C204C999852085D8DAC73C2BD6E07BDBD2B3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:1Mg0stNv0XvCvc0Hz6zpg4mu/vlDL8XCtOWkDkT/2Aqk57gioHo1qfR8xpl61Jp3:1/mS4xXlDLbtyxk57ZFxpltPIl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:403307:YfFMwFGgEJAoJgIBjc67mI1omAwWhJCDIEYUDkAQCJHIDxBJ8VJMAQCcZEAUkzXBVChMBhQAncPzmwChRCEAUFwEAhqVNzmb

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:00003c3d3d3ddbff
Perceptual Hash:8a5478439f7c9267
Difference Hash:89d5f1616969132b
Wavelet Hash:0000143d3d3dfbff
Color Hash:#b5e06c

Scan History

Scan history not available

Unable to load historical scan data