ScanMalware.com

Security Scan Report: blackburn.ac.uk

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Submitted: Jan 19, 2026, 1:10:45 PMCompleted: Jan 19, 2026, 1:11:18 PMpubliccompleted
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Summary

This website contacted 9 IPs in 4 countries across 11 domains to perform 8 HTTP transactions. The main domain is blackburn.ac.uk and was registered NaN years ago.

Submitted URL: https://blackburn.ac.uk/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate educational site; no security concerns detected.

Safety Factors
Established domain (>10 years old)
No credential or payment collection forms
No malicious Indicators of Compromise detected
Educational institution domain (.ac.uk)
Standard search and informational forms only
Domain age information unavailable

Details

Page Title

Blackburn College

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(62%)

Domain Information

Domain 'blackburn.ac.uk' uses the United Kingdom country-code top-level domain (.ac.uk). Count 9 characters in 'blackburn' split between two vowels and seven consonants. Tokenizing the label suggests 1 word: blackburn. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://blackburn.ac.uk/

Page Load Overview

1.82s
Total Load Time
49
HTTP Requests
11
Domains
2.0 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:25,246 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software62% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
62%
education
45%
government public service
33%
corporate business
27%
news/blog
20%

Detected Features

Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9185.26.148.70United Kingdom
AS20860Iomart Cloud Services Limited
5104.18.10.14Germany
AS20940
5142.250.184.227United States
AS15169GOOGLE
5104.16.174.226Austria
AS13335
5188.114.96.3United States
AS13335CLOUDFLARENET
5142.251.141.74United States
AS15169GOOGLE
523.56.205.206Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
5188.114.97.3United States
AS13335CLOUDFLARENET
595.101.23.105Vienna, Vienna, Austria
AS20940Akamai International B.V.
499--

Detected Technologies8

X-UA-Compatible
100%
Open-Graph-Protocolvwebsite
100%
Plesk
40%
HSTS
40%
jsDelivr
20%
Onsen UI
20%
Cookiebot
20%
Abralytics
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16064233071EA321F0B978AF05691D717AAD144C799C520C9B89E87382FD6D0B9CBE17B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:zEFQTeQKclIexQ4UQ4/AQTA6kstNv0hvHvdy5wdylQmB9qkZ1Vndl57uCa3A+lqN:exjQA9ZNndl5KHCd/ZwSqkrf64ahm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:331433:YHGDAhCIQoCBQgUuwpyZWDDVAwFrQgELiIABxIgDDJEACiMYVAPcBzSoVBSg6AEyHFUYNjmIAcAxBgUgEIQAAbF6XIixMzFg

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:0000fffffffbffc3
Perceptual Hash:bc1334453ed86ccb
Difference Hash:b68e697169261626
Wavelet Hash:0000bf3d3cf2ff83
Color Hash:#742d86

Other Hashes

Crop Resistant:b68e697169261626,b479969696494f4f,001008b2b20c0000,30c30c33cb070703,031f4d0d19999f9e

Scan History

Scan history not available

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