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Security Scan Report: www.homesrus.qa

Redirected to: https://www.homesrus.qa/en/

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Submitted: Jan 7, 2026, 12:07:20 PMCompleted: Jan 7, 2026, 12:09:53 PMpubliccompleted
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Summary

This website contacted 32 IPs in 6 countries across 28 domains to perform 458 HTTP transactions. The main domain is homesrus.qa.

Submitted URL: https://www.homesrus.qa

Effective URL: https://www.homesrus.qa/en/Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Domain hosts a standard e‑commerce site with promotional offers
No credential‑harvesting or payment collection forms observed
No suspicious redirects or URL manipulation detected
Domain age information unavailable

Details

Page Title

Buy Home Furniture, Decor & Kitchen Accessories Online in Qatar

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(42%)

Domain Information

The domain name 'www.homesrus.qa' uses the Qatari country-code top-level domain (.qa); it also runs on subdomain 'www'. The registrable portion 'homesrus' spans 8 characters containing three vowels alongside 5 consonants. Breaking it apart gives 2 words: homes, rus. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.homesrus.qa

Page Load Overview

24.28s
Total Load Time
521
HTTP Requests
32
Domains
10.8 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
Text Length:19,839 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping42% confidence
Type: webapp
Method: ml+structural

All Detected Categories

e-commerce shopping
42%
entertainment media
41%
adult content
25%
e-commerce
20%

Detected Features

Search
Products
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2520.250.198.32Zurich, Zurich, Switzerland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
16142.250.185.163Germany
AS54113
1644.198.154.229Sweden
AS204995
16216.239.34.178Ireland
AS60068
16100.50.135.186Ashburn, Virginia, United States
AS14618AMAZON-AES
1635.190.43.134United States
AS396982GOOGLE-CLOUD-PLATFORM
162.22.50.134Netherlands
AS8075
16104.18.1.22United States
AS13335CLOUDFLARENET
1637.252.171.21Unknown
AS23467
16142.250.185.198Unknown
AS16625
52132--

Detected Technologies4

Platform.sh
40%
HSTS
40%
Magento
38%
Google Tag Manager
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12F75D7B1E5F150325133C1F0A4A92BA93EA2F117D7920880B3EE57A52FC9DE6B91353D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:4nxaBRL31p8qmj7F7WTWJeu2r8uFCnAmM1EMz8tYFYQ:4aT75mjp7WTWYCnAmM1EMzuYFYQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1638782:CSAsyOAkOooeMtEDIgRI1rRAgEEIIRw0VihkIEsAEEEMwIGNwqAER4B6AABCII7GHkADUQYBihMBFgSAiWEUNSSil0QwAASt

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:ffbf3f31003000ff
Perceptual Hash:8f97f048ea68461f
Difference Hash:b37c6c696965730b
Wavelet Hash:ffbf3f01003000ff
Color Hash:#ac6f53

Other Hashes

Crop Resistant:b37c6c696965730b,a2a25b5d53529c9c,0101616969013101,5959595852303e13,ef6b654440330a8e

Scan History

Scan history not available

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