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Security Scan Report: www.mayasupportedliving.co.uk

Redirected to: https://mayasupportedliving.co.uk/

Submitted: Apr 13, 2026, 4:43:05 AMCompleted: Apr 13, 2026, 4:44:22 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 6 domains to perform 26 HTTP transactions. The main domain is mayasupportedliving.co.uk and was registered NaN years ago.

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

Effective URL: https://mayasupportedliving.co.uk/Redirected

AI Security Verdict

Safe Website

Confidence: 78%

2
Risk Score

Site appears legitimate with low risk, though heavy JavaScript obfuscation and adult‑content classification warrant caution.

Risk Factors
Domain is unranked in Cisco Umbrella top 1M
JavaScript obfuscation score marked CRITICAL (high entropy, concatenation)
Machine‑learning classifier flagged adult content with high confidence
Safety Factors
Long domain age (>7 years) reduces risk
No credential or payment collection forms
No network IDS alerts or malicious external links
Self‑branding indicates legitimate organization
Domain age information unavailable

Details

Page Title

Maya Supported Living Limited – Support, that is guided by love, driven by care!

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(96%)

Domain Information

The domain name 'www.mayasupportedliving.co.uk' uses the United Kingdom country-code top-level domain (.co.uk) and includes subdomain 'www'. The registrable portion 'mayasupportedliving' spans 19 characters split between seven vowels and twelve consonants. Splitting it apart reveals 4 words: may, a, supported, living. Median word length comes out to 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

4.57s
Total Load Time
153
HTTP Requests
6
Domains
21.1 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:6,953 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content96% confidence
Type: spa
Method: ml+structural

All Detected Categories

adult content
96%
healthcare medical
96%
government public service
92%
download file sharing
89%
education learning
85%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
33160.153.0.15United States
AS209242Cloudflare London, LLC
3023.207.210.143United States
AS16625
3095.100.79.57Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
30142.251.110.95United States
AS15169Google LLC
30142.251.20.94United States
AS15169Google LLC
1535--

Detected Technologies8

WordPressv6.9.4
100%
MetaGenerator
100%
JQueryv3.7.1
100%
PHP
50%
OWL Carousel
50%
MySQL
50%
Swiper
20%
Font Awesome
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B3E3C671746A292A321F12CFA0177B0D71D39EFADB91D6E2B2FE065493F4C9072A3254

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:J7fBqa088RHW7NKFTfODMYnvmINiweI3N5ropLVmoY8FbUNHEV0peHQ1gcGuMssA:iRHW5KFTfODM+mIn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:147668:AUSIwNIAEWIAB3AQKS5SMYQIuAQbEoCBMEYC5kSKJYAS5x+LIwxhkgBETxkHQACJBeMIEIlcGgKIGRCMASrEAM6wIHRQpIAY

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:ff0000000000ffff
Perceptual Hash:ba47b0c798c738c3
Difference Hash:4d652b716173281e
Wavelet Hash:ff8181191000ffff
Color Hash:#8cc587

Other Hashes

Crop Resistant:4d652b716173281e,6439097371697377

Scan History

Scan history not available

Unable to load historical scan data