Security Scan Report: awareness-days.co.uk

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Submitted: May 20, 2026, 1:31:17 PMCompleted: May 20, 2026, 1:34:21 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 77 HTTP transactions. The main domain is awareness-days.co.uk and was registered NaN years ago.

Submitted URL: https://awareness-days.co.uk/awareness-day/world-bee-day/2026-05-20/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

World Bee Day | Awareness Days

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(38%)

Domain Information

You're looking at domain 'awareness-days.co.uk' on the United Kingdom country-code top-level domain (.co.uk) without a subdomain. The registrable portion 'awareness-days' spans 14 characters holding 5 vowels versus eight consonants, along with one hyphen. Segmentation suggests two words: awareness, days. Median word length comes out to 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://awareness-days.co.uk/awareness-day/world-bee-day/2026-05-20/

Page Load Overview

N/A
Total Load Time
77
HTTP Requests
0
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-GB
Text Length:3,810 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content38% confidence
Type: spa
Method: ml+structural

All Detected Categories

adult content
38%
corporate
35%
government public service
31%
news/blog
20%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7734.149.36.179Kansas City, Missouri, United States
AS396982Google LLC
01--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T182F319723D49843A723B0B9B9001762F93BBE6EFD704C5D1FAB8982946E6DD430A351D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:BxBwy+N8A37/A4elfuEsE7r3tfTddD7dDpX4A22FZbdxLkhBxPHDhB4e8Z6p33mF:Bjwydbtlfyyn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:163831:4QwyL24CoWiAFSkBRRAO4csRAIGYQ0BjANgEaMUCOWEJRMkwEBFrhQPOSATQApBDAVIgnGgvE0OZJHbcBEpVAiNWAoolDMoV

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

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