Security Scan Report: blackburn.ac.uk

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Submitted: Oct 5, 2025, 10:45:34 PMCompleted: Oct 5, 2025, 10:47:25 PMpubliccompleted
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Summary

This website contacted 36 IPs in 3 countries across 12 domains to perform 58 HTTP transactions. The main domain is blackburn.ac.uk.

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

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

The site appears to be a legitimate college website with no malicious indicators.

Safety Factors
Absence of credential‑harvesting or payment collection forms
No malicious Indicators of Compromise detected in threat intelligence databases
Consistent institutional branding and legitimate educational content
Domain age information unavailable

Details

Page Title

Blackburn College

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(61%)

Domain Information

Within the United Kingdom country-code top-level domain (.ac.uk), 'blackburn.ac.uk' is registered with no subdomain. The second-level label 'blackburn' is 9 characters long holding two vowels versus 7 consonants. It segments into one word: blackburn. Most frequently, 'blackburn' shows up in Danish. You may catch it in German and English as well.

Screenshot

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

Page Load Overview

1.89s
Total Load Time
58
HTTP Requests
12
Domains
2.7 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:22,189 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software61% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
61%
education
45%
government public service
33%
corporate business
27%
news/blog
20%

Detected Features

Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23104.18.11.14United States
AS13335CLOUDFLARENET
123.213.161.208Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1184.30.131.181Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
123.56.205.206Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
1185.26.148.70United Kingdom
AS20860Iomart Cloud Services Limited
1188.114.96.3United States
AS13335CLOUDFLARENET
1104.16.175.226United States
AS13335CLOUDFLARENET
1142.250.186.131United States
AS15169GOOGLE
1142.250.185.234United States
AS15169GOOGLE
115.197.253.240United States
AS16509AMAZON-02
5836--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FA64233071EA321F0B978AF05691D717AAD144C799C520C9B89E87382FD6D0B9CBE17B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:HEFQTeQKclIexQ4UQ4/AQTA6kstNv0hvHvdytwp2lQm5JXcy1Vndl5xuCa3A+lqZ:CLXQwJsOndl5kHCdxyrnI9f61phm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:318713:BIYGIkoaWJC4SigACDCzkYgIiCCjVRJwWZABAyUeHAAwDCUaAICFLEiRJjaAIASKpgmgAkjYLwMIDUQEZoCAYZFWgDBgZyER

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:0000fffffffbffcb
Perceptual Hash:bf0631441bcc6d9b
Difference Hash:b68e69716926161b
Wavelet Hash:0000bfbd3cf2ff81
Color Hash:#9ed22d

Scan History

Scan history not available

Unable to load historical scan data