ScanMalware.com

Security Scan Report: www.bacoll.ac.uk

Redirected to:
https://bacoll.ac.uk/
Submitted: Jun 13, 2026, 1:42:40 AMCompleted: Jun 13, 2026, 1:43:30 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 6 domains to perform 2 HTTP transactions. The main domain is bacoll.ac.uk and was registered NaN years ago.

Submitted URL: http://www.bacoll.ac.uk

Effective URL: https://bacoll.ac.uk/Redirected

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Legitimate educational site with low risk; no phishing or malware indicators detected.

Risk Factors
Domain is unranked in Cisco Umbrella (weak signal)
Safety Factors
Long‑standing domain registration
Educational content with no credential collection
All external resources are common CDNs (cdnjs, Google fonts, analytics)
No malicious JavaScript behavior
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by forbidden bot protection. Our scanner was challenged or blocked during access.

Page Title

Home - Bishop Auckland College

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(46%)

Domain Information

Domain 'www.bacoll.ac.uk' uses the United Kingdom country-code top-level domain (.ac.uk); it also runs on subdomain 'www'. Its registrable label 'bacoll' stretches across 6 characters split between 2 vowels and 4 consonants. Tokenizing the label suggests 2 words: ba, coll. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.bacoll.ac.uk

Page Load Overview

3.61s
Total Load Time
73
HTTP Requests
9
Domains
8.0 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-US
Text Length:7,897 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning46% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
46%
education
45%
government public service
37%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17142.250.154.95United States
AS15169Google LLC
14142.251.156.119United States
AS15169Google LLC
14104.17.24.14United States
AS13335Cloudflare, Inc.
14104.18.0.22United States
AS13335Cloudflare, Inc.
14185.194.90.30London, England, United Kingdom
AS12488Krystal Hosting Ltd
735--

Detected Technologies11

X-UA-Compatible
100%
WordPressv7.0
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
Meta-Geo
100%
JQueryv3.7.1
100%
PHP
50%
MySQL
50%
Google Analytics
35%
Unpkg
20%
Google Tag Manager
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T181E3C6B284E4103B11C772CABA68BF19BBD28007CB055591B2FC579C6FC5E9649E3B2D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:scu/y/GxJYAUU+4DGDLU2haYMVy6wFGqs7cv8GDTSPIzn5:scuqU+4DwRhV5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:154874:SpKEXTZZJSJICQUOCzABAUcDAjhJGZBRczkMkCBggNjBC7ihHABmHCQplsooCEDAVhO4VkRACoCGCLtsEkp0lBKKHhYiGgCC

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:ffff81818181ffff
Perceptual Hash:ee4fc067c0e36a68
Difference Hash:4571757175751f35
Wavelet Hash:f1bf01010101ffff
Color Hash:#d279a1

Other Hashes

Crop Resistant:4571757175751f35,403244f6ba124541,3274703175727766

Scan History

Scan history not available

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