ScanMalware.com

Security Scan Report: www.leggott.ac.uk

Submitted: Jan 23, 2026, 9:43:05 AMCompleted: Jan 23, 2026, 9:45:29 AMpubliccompleted
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Summary

This website contacted 6 IPs in 1 country across 8 domains to perform 11 HTTP transactions. The main domain is leggott.ac.uk and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate educational site with no security concerns.

Safety Factors
Well‑established domain
No redirects
No suspicious forms or inputs
No Indicators of Compromise
Consistent branding with official college
Domain age information unavailable

Details

Page Title

John Leggott Sixth Form College | Top Performing College in Scunthorpe, North Lincolnshire

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(86%)

Domain Information

The domain name 'www.leggott.ac.uk' uses the United Kingdom country-code top-level domain (.ac.uk) with subdomain 'www'. The core label 'leggott' covers 7 characters holding two vowels versus five consonants. Segmentation suggests 2 words: leg, gott. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

45.64s
Total Load Time
176
HTTP Requests
14
Domains
1.5 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:4,535 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning86% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
86%
adult content
73%
government public service
53%
phishing scam
50%
education
45%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
31151.101.2.217United States
AS54113FASTLY
293.232.177.253Ashburn, Virginia, United States
AS14618AMAZON-AES
2965.8.131.55United States
AS16509AMAZON-02
2934.49.229.81Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
2934.149.206.255Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
2934.149.87.45Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
1766--

Detected Technologies7

MetaGenerator
100%
Wix
85%
React
50%
Google Cloud
50%
HTTP/3
40%
HSTS
40%
Google Cloud CDN
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11A358D906A81543D5A9BB07EA3507B0C1749B802DF9606D5BEAA3335FEC7BF40673B18

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:P6k51uaqj8IMhukAiAm9ltlylW5TjvCYU/UKgK0ud43nlqdY8ycH0f1QNF0eP3+Z:P6M1uPYzTsSjvGybGRDlF4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1140972:BRIAQQDWQWc5Y0FPDBsBgQESkAD3GsQQwidNASVUAdDDAkAgA+wgH1ShEEwLIPR4HJFyhJ5iSAokAYogqIPPYpaCmhk2EjMB

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:bdffffffffffff00
Perceptual Hash:9e9e1e9e0e9e0a8a
Difference Hash:6500000000000861
Wavelet Hash:10f2f2f2f2f2ee00
Color Hash:#77bf40

Other Hashes

Crop Resistant:6500000000000861,2004686160242408

Scan History

Scan history not available

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