Security Scan Report: www.appleblossomfloristblyth.co.uk

Redirected to: https://www.appleblossomfloristblyth.co.uk/

Submitted: Apr 1, 2026, 2:10:05 PMCompleted: Apr 1, 2026, 2:11:24 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 122 HTTP transactions. The main domain is appleblossomfloristblyth.co.uk and was registered NaN years ago.

Submitted URL: http://www.appleblossomfloristblyth.co.uk/

Effective URL: https://www.appleblossomfloristblyth.co.uk/Redirected

AI Security Verdict

Safe Website

Confidence: 94%

0
Risk Score

Legitimate local florist site with no security concerns.

Safety Factors
Established domain (>2 years)
No malicious Indicators of Compromise
No credential or payment collection forms
Standard contact form only
HTTPS connection (assumed from URL scheme)
Domain age information unavailable

Details

Bot Protection Detected

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

Page Title

Apple Blossom Florist - Blyth Order Online or 01670 351349

Scan Type

public

Language

🇺🇸

English

(53% confidence)

Category

e-commerce shopping

(63%)

Domain Information

You're looking at domain 'www.appleblossomfloristblyth.co.uk' on the United Kingdom country-code top-level domain (.co.uk), featuring subdomain 'www'. The second-level label 'appleblossomfloristblyth' is 24 characters long split between six vowels and 18 consonants. Segmentation suggests four words: apple, blossom, florist, blyth. Median word length comes out to 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.appleblossomfloristblyth.co.uk/

Page Load Overview

3.56s
Total Load Time
117
HTTP Requests
8
Domains
989 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:53%
Script Type:Latin
Text Length:5,377 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping63% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
63%
adult content
46%
entertainment media
32%
healthcare medical
27%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19104.18.10.207United States
AS13335Cloudflare, Inc.
14142.251.13.95United States
AS15169Google LLC
14104.19.184.109United States
AS13335Cloudflare, Inc.
14142.251.141.131United States
AS15169Google LLC
14146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
14107.154.132.77United States
AS19551Incapsula Inc
14142.251.141.74United States
AS15169Google LLC
14172.66.0.227United States
AS13335Cloudflare, Inc.
1178--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F2C3D7D1DAF9F03B412763B476B42FCABD60851BC70A4D19F2AC6A562B80E745F530AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:///2aYl+Wq2vz5aDeg+91S0kJ3cS1EdSrSXYynnNoggy4oXI2coX/oMIr3fMSoRo:HOalWq2vz5aDegWsB3cS1EdSrk2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:121998:NwgggmhEXQ4ApJEUgFAJAFayWAFpCAwkKEvCEggpPUkHJPARsERlCIHVBoZYwMEAUIiANgBFQGgQQADRiGgMBEgvCRiiBhi8

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:dfffc3c3c3efefe7
Perceptual Hash:b918c6c76d989a39
Difference Hash:321e1696161e0e16
Wavelet Hash:cbc2c3c3c3c3c3c3
Color Hash:#d22d67

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data