Security Scan Report: mobilitypluswheelchairs.co.uk

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Submitted: Completed: publiccompleted
This website contacted 53 IPs in 5 countries across 47 domains to perform 694 HTTP transactions. The main domain is mobilitypluswheelchairs.co.uk and was registered 7 years ago.

Submitted URL: https://mobilitypluswheelchairs.co.uk

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Established mobility-aid e-commerce site using its own matching brand, with no credential/payment harvesting, no threat-intel hits, and no malicious JavaScript or hunting-rule findings. The lone IDS alert is informational and uncorroborated.

Safety Factors (5)
Established domain with registration dating to 2019.
Self-branding matches the domain; no evidence of impersonating another entity.
No credential-harvesting or payment fields on the captured page.
No Indicators of Compromise, Safe Browsing, hunting rule, or malicious JavaScript findings.
Standard e-commerce content with product listings, showroom locations, and newsletter/contact forms.
Domain age information unavailable

Details

Page Title

Electric Powered Wheelchairs for Sale – MobilityPlus Wheelchairs

Scan Type

public

Domain Name Analysis

You're looking at domain 'mobilitypluswheelchairs.co.uk' on the United Kingdom country-code top-level domain (.co.uk) without a subdomain. Count 23 characters in 'mobilitypluswheelchairs' split between 8 vowels and 15 consonants. Segmentation suggests three words: mobility, plus, wheelchairs. Average segment length settles at 8 characters. No strong language cues emerged from the frequency lists.

Screenshot

Excellent Trustpilot Contactus About us Mobility @ Powerchairs Wheelchairs MobilityScooters Rollators Riser Recliners Accessories Search Account Cart (0) Moma, Buy now, pay later with Klarna (2 Fas...

Page Load Overview

6.64s
Total Load Time
15.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:7,977 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce40% confidence
Type: spa
Method: structural

All Detected Categories

e-commerce
40%

Detected Features

Search
Products
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1823.227.38.68Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
13142.251.110.97Google · CDNUnited States
AS15169Google LLC
13172.67.75.184Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
13142.251.14.95Google · CDNUnited States
AS15169Google LLC
1334.144.250.199Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1318.135.134.211Aws · CLOUDCity of London, England, United Kingdom
AS16509Amazon.com, Inc.
13146.75.122.133Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1352.222.236.60Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
13172.67.73.138Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
13216.239.34.36Google · CDNUnited States
AS15169Google LLC
69453--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15E154CF562E4B1F4D003D7E4D76395707E1B38BBBB56CA98329C4B84AF8168CC889C59

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:JSA8lUA7LzOeIvgVr81S4KAD2Kg3VdHvdVQnUCmtQiCissyT:4A8+ArOeIvgO17DPp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:916689:oQCmjhgC0BR9kUEAUIAMAyAJGihmAqRKSkSCJKRIhiG2EEAACWBvBUB4gzmIAAwsD1AWJAC0LmsJDBklBKApOqBDCARSMgZA

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:fffffceeff360000
Perceptual Hash:c2f96e867933047c
Difference Hash:6f209098b0ecec8d
Wavelet Hash:87fefcee7e340000
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data