Security Scan Report: bacoll.ac.uk

Submitted: Oct 6, 2025, 4:07:12 PMCompleted: Oct 6, 2025, 4:08:06 PMpubliccompleted
Loading additional data...

Summary

This website contacted 17 IPs in 2 countries across 7 domains to perform 76 HTTP transactions. The main domain is bacoll.ac.uk.

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

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The site appears to be a legitimate college website with no signs of phishing or malware.

Safety Factors
Absence of credential‑harvesting or payment collection forms
No malicious Indicators of Compromise detected
Consistent branding and legitimate college information
Domain age information unavailable

Details

Page Title

Home - Bishop Auckland College

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(52%)

Domain Information

Within the United Kingdom country-code top-level domain (.ac.uk), 'bacoll.ac.uk' is registered while skipping any subdomain. Its registrable label 'bacoll' stretches across 6 characters containing two vowels alongside four consonants. Breaking it apart gives two words: ba, coll. The median word length lands at three characters. The linguistic tilt is Tagalog for 'ba'. Secondary signals appear in Vietnamese and Catalan.

Screenshot

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

Page Load Overview

12.78s
Total Load Time
76
HTTP Requests
7
Domains
3.7 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-US
Text Length:7,632 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning52% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
52%
government public service
48%
education
45%
adult content
34%
corporate business
28%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12142.250.186.36United States
AS15169GOOGLE
4104.17.24.14United States
AS13335CLOUDFLARENET
4185.194.90.30United Kingdom
AS12488Krystal Hosting Ltd
4142.250.185.234United States
AS15169GOOGLE
4142.250.186.163United States
AS15169GOOGLE
4104.17.25.14United States
AS13335CLOUDFLARENET
4104.18.0.22United States
AS13335CLOUDFLARENET
4104.18.1.22United States
AS13335CLOUDFLARENET
4142.250.186.99United States
AS15169GOOGLE
42606:4700::6812:116UnknownUnknown
7617--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D2D3C77284E4103B11C772CABA68BF19BBD28007CB055591B2FC579CAFC5E9649E3B2D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:JyxlglT9KuCy2Vz7ltlZC1zGzA253LYrARueUteQigUz:chuCy2VzZZoigUz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:142879:AAOAhwJgUGAqEcKgF5ANIXkMDDIhr6MdyULGFGxAAgIQTggIWAwgCQ0lwKwQVkgAEIIFgFxAiSAMEA0PIqDgkGKGQS9AGELx

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:f59d00010001ffff
Perceptual Hash:ba4ed04668e66aec
Difference Hash:4571157337753f38
Wavelet Hash:f1bd01010181ffff
Color Hash:#63ac53

Scan History

Scan history not available

Unable to load historical scan data