Security Scan Report: www.winstanley.ac.uk

Submitted: Jan 22, 2026, 10:30:15 AMCompleted: Jan 22, 2026, 10:31:56 AMpubliccompleted
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Summary

This website contacted 12 IPs in 3 countries across 12 domains to perform 91 HTTP transactions. The main domain is winstanley.ac.uk and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate college website with no security concerns detected.

Safety Factors
Well‑established domain with long registration history
No malicious Indicators of Compromise
Absence of credential‑harvesting or payment collection forms
Official educational TLD (.ac.uk)
Standard hosting without suspicious redirects
Domain age information unavailable

Details

Page Title

Welcome to Winstanley College

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(70%)

Domain Information

Domain 'www.winstanley.ac.uk' uses the United Kingdom country-code top-level domain (.ac.uk), featuring subdomain 'www'. Its registrable label 'winstanley' stretches across 10 characters with three vowels and 7 consonants. Tokenizing the label suggests two words: win, stanley. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

5.37s
Total Load Time
153
HTTP Requests
14
Domains
13.7 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:9,676 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning70% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
70%
education
45%
corporate
35%
adult content
31%
government public service
27%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21195.181.175.40Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
12142.250.184.195United States
AS15169GOOGLE
12142.251.141.104United States
AS15169GOOGLE
12188.114.96.3United States
AS13335CLOUDFLARENET
12142.251.141.138United States
AS15169GOOGLE
1252.218.101.58Dublin, Leinster, Ireland
AS16509AMAZON-02
12142.251.208.4UnknownUnknown
12142.250.185.206United States
AS15169GOOGLE
1252.31.127.40Dublin, Leinster, Ireland
AS16509AMAZON-02
12172.217.18.10United States
AS15169GOOGLE
15312--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FA04E86196A00837016B96C4A9726B1A68E3A35FD6530840F7BC47F66FCFC58DD2706B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:fVRNncn5NnXN8DnNnvo0sNnqjrd5KPo7E:fVRNnc5NnXN8DnNnvo/NnZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:182202:IiO7bjAoI6CoRMBsoAIUOEVw9CRMAECrkXgBcKoERJBBwgkFGERxikewACiUYjAIByBAAokIAVUNFt1E0gZAQYMI2EAVWGCK

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:fffffdff3f3f3f3d
Perceptual Hash:8ff85707f4d48407
Difference Hash:6361e13bc3c3c3d1
Wavelet Hash:bfb939193b3b2300
Color Hash:#c379d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data