Security Scan Report: www.furness.ac.uk

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Submitted: Oct 19, 2025, 7:47:07 AMCompleted: Oct 19, 2025, 7:48:43 AMpubliccompleted
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Summary

This website contacted 73 IPs in 3 countries across 23 domains to perform 145 HTTP transactions. The main domain is furness.ac.uk.

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate educational site with no security concerns.

Safety Factors
Official college domain (furness.ac.uk)
Clear institutional branding and meta description
No credential harvesting or payment collection
No malicious Indicators of Compromise
Standard legitimate website features only
Domain age information unavailable

Details

Page Title

Furness College

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

education

(45%)

Domain Information

You're looking at domain 'www.furness.ac.uk' on the United Kingdom country-code top-level domain (.ac.uk), featuring subdomain 'www'. The second-level label 'furness' is 7 characters long holding two vowels versus 5 consonants. It segments into 1 word: furness. The median word length lands at seven characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

53.31s
Total Load Time
145
HTTP Requests
23
Domains
3.3 MB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
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:5,054 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: spa
Method: ml+structural

All Detected Categories

education
45%
education learning
35%
adult content
35%
corporate
35%
news media journalism
34%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
73192.124.249.10Menifee, California, United States
AS30148SUCURI-SEC
1104.18.6.165United States
AS13335CLOUDFLARENET
1212.102.56.178Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
1172.217.23.106United States
AS15169GOOGLE
1195.181.175.40Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
1142.250.185.170United States
AS15169GOOGLE
1157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
1142.250.185.162United States
AS15169GOOGLE
144.231.208.150Boardman, Oregon, United States
AS16509AMAZON-02
134.107.218.251Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
14573--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D4C394E248A9703B522B62857469F319A6A3410BCF851E1473FD277CEF89FE049E315D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:5wVcwapCfyrjNlUJsftE98DY0SJ9Yx2xRx2x4xFTF2FGx+fZFzFjRAxAB7pwvfnD:OmPwfaU9GXSJ9+B7G3du0exU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:118965:INg8VCgEwHxENgiAACKcAsMMEIEYhSQQ0ZBUDCNE7liSMAXgAGSoiBAiahYT7CSAUBEsYdcAIFGBeaiFBISxiHyACAEQYA6E

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:260101010101813e
Perceptual Hash:8e718671d6718679
Difference Hash:4405814141e11b65
Wavelet Hash:630101818f0f833f
Color Hash:#1f2593

Scan History

Scan history not available

Unable to load historical scan data