Security Scan Report: bacoll.ac.uk

Submitted: Dec 17, 2025, 9:18:32 PMCompleted: Dec 17, 2025, 9:23:52 PMpubliccompleted
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Summary

This website contacted 1 IP in 0 countries across 1 domain to perform 3 HTTP transactions. The main domain is bacoll.ac.uk and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Long‑standing educational institution domain
No suspicious content or forms
Domain age information unavailable

Details

Page Title

Home - Bishop Auckland College

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(83%)

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 2 vowels alongside four consonants. Word splitting yields two words: ba, coll. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

30.18s
Total Load Time
3
HTTP Requests
1
Domains
N/A
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:732 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software83% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
83%
documentation technical
61%
adult content
57%
education
45%
government public service
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3185.194.90.30UnknownUnknown
31--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E9E3C77294E4103B11CB72CBBA68BF19ABD28007CB055581B2FC579CAFC5E9649E372D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:RKutL8gLT9fv0T49rdmrTuaUv1zGzu2kqv9vAxZjbqjeaQ/:RKu30T49RmrSaS/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:155470:lAXBj1kexB8gRMIJhgSFnIBkBjIEagtLXco6K4DgBEgkOnPAhYMCBFciSgmJFAhAwlYiGIkABwkLEp6xDNw7UAiEEwAICjkX

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:ba4ed04678e66e68
Difference Hash:4571756953573d38
Wavelet Hash:f1bd01010181ffff
Color Hash:#bf2dd2

Scan History

Scan history not available

Unable to load historical scan data