Security Scan Report: www.boltoncollege.ac.uk

Submitted: Jan 14, 2026, 12:24:44 AMCompleted: Jan 14, 2026, 12:26:17 AMpubliccompleted
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Summary

This website contacted 12 IPs in 2 countries across 13 domains to perform 428 HTTP transactions. The main domain is boltoncollege.ac.uk and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate educational site with no detected security threats.

Safety Factors
Well‑established domain (>29 years old)
No malicious Indicators of Compromise detected
No credential‑harvesting or payment forms present
Standard consent/privacy elements only
Domain age information unavailable

Details

Page Title

Home | Bolton College

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(47%)

Domain Information

You're looking at domain 'www.boltoncollege.ac.uk' on the United Kingdom country-code top-level domain (.ac.uk) with subdomain 'www'. Its registrable label 'boltoncollege' stretches across 13 characters holding 5 vowels versus eight consonants. It segments into two words: bolton, college. The median word length lands at 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

20.68s
Total Load Time
477
HTTP Requests
29
Domains
36.7 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-GB
Text Length:12,921 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software47% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
47%
education
45%
documentation technical
38%
news/blog
20%

Detected Features

Search
Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
48192.0.77.48San Francisco, California, United States
AS2635AUTOMATTIC
39104.18.178.120United Kingdom
3918.66.147.102United States
AS16509AMAZON-02
39178.128.44.65Slough, England, United Kingdom
AS14061DIGITALOCEAN-ASN
39142.250.184.195United States
AS15169GOOGLE
39142.250.185.206Unknown
39142.250.185.214United States
AS15169GOOGLE
39104.26.6.103United States
AS13335CLOUDFLARENET
39216.58.206.40UnknownUnknown
39216.58.206.68United States
AS15169GOOGLE
47712--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14A4592517E171269363F225F600BA75C6A264CEAD37D36CAF06D022BA7FAC5033D1B19

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:uUEh4dle3NtSjbEJvpMz2XDSYJE9ZTP7Gj66tZWR/Z3SCsRb8TefTjbX5FRhv33n:dg6rH7IS2hjj9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1248851:oOC2FAQIMgMgCiD1xAifYUg4aWAql8H3CLDAcADFI3Y5EOIQQAgQjIEEEOIokqAJEJCkAQSa0EhJZQ0AMmBEABRAykkRPuKN

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:3c242434003e3f1f
Perceptual Hash:8752ad5a7387523c
Difference Hash:c8ececcc4cd4f676
Wavelet Hash:3c3c3c34003e3f3f
Color Hash:#501f93

Scan History

Scan history not available

Unable to load historical scan data