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Security Scan Report: furniturecity.com

Submitted: Feb 4, 2026, 12:46:26 AMCompleted: Feb 4, 2026, 12:48:46 AMpubliccompleted
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Summary

This website contacted 24 IPs in 5 countries across 28 domains to perform 123 HTTP transactions. The main domain is furniturecity.com and was registered NaN years ago.

Submitted URL: https://furniturecity.com

The Cisco Umbrella rank of the primary domain is #890,566 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate furniture store site with no security concerns.

Safety Factors
Well‑established domain with long registration history
No malicious Indicators of Compromise
No login or payment forms
No redirects or URL manipulation
Meta tags consistent with legitimate business
Domain age information unavailable

Details

Page Title

Furniture City - Best Furniture Store In California, USA

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(78%)

Domain Information

Domain 'furniturecity.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The registrable portion 'furniturecity' spans 13 characters split between five vowels and 8 consonants. Word splitting yields two words: furniture, city. Median word length comes out to 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://furniturecity.com

Page Load Overview

95.12s
Total Load Time
147
HTTP Requests
28
Domains
3.6 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:19,260 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping78% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
78%
adult content
47%
finance banking
44%
corporate
35%
technology software
31%

Detected Features

Search
Products
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
923.227.39.200Ottawa, Ontario, Canada
AS13335Cloudflare, Inc.
6104.21.66.250United States
AS13335Cloudflare, Inc.
6172.67.73.55United States
AS32934
6104.18.18.161United States
AS13335Cloudflare, Inc.
613.107.246.44Canada
AS13335
6142.250.201.164United States
AS15169Google LLC
6104.18.11.207United States
AS13335Cloudflare, Inc.
634.254.38.141Dublin, Leinster, Ireland
AS16509Amazon.com, Inc.
652.218.120.80UnknownUnknown
6157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
14724--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EC84E691ECB038B608D302F695B5E225BEE1D103D6408DC6F2FC97A50F96F599D63A2C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Jw3tGRJrckexgLW4OCq2h0/VSvl6Yw4FoAHReC1a1/1OAs1SN5y8p+L5Yclf9WbW:Jw8OYsY511a1/1B08p+LZfYS8Fs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:403277:hI5A1mAIcXMSAAknELEIHkGiUxwhDBNAkiQSgA/DCGCDgjA4hB4VCUghNIINBZJIEYAcIkxkAo4dVQSBUuLmJBASTCCCgCSI

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:00ffff80c8e0fcfc
Perceptual Hash:da2586715a7e255a
Difference Hash:0dc7661191914969
Wavelet Hash:00ffff00c0c0fcfc
Color Hash:#d2797e

Other Hashes

Crop Resistant:0dc7661191914969,0101010101010101,219191b1911169c9,e971434b03032323

Scan History

Scan history not available

Unable to load historical scan data