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Security Scan Report: furniture-qp1uaeyq4a.edgeone.app

Submitted: Apr 9, 2026, 7:34:29 PMCompleted: Apr 9, 2026, 7:35:38 PMpubliccompleted
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Summary

This website contacted 8 IPs in 4 countries across 9 domains to perform 57 HTTP transactions. The main domain is furniture-qp1uaeyq4a.edgeone.app and was registered NaN years ago.

Submitted URL: https://furniture-qp1uaeyq4a.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 72%

4
Risk Score

Site shows moderate suspicion due to new hosting subdomain and low ranking, but no malicious activity detected.

Risk Factors
New subdomain on a free hosting platform (edgeone.app) – moderate suspicion
Domain unranked in Cisco Umbrella (low reputation)
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
No JavaScript malware patterns detected
Served over HTTPS
Domain age information unavailable

Details

Page Title

Portable Furniture Brand — Market Analysis

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(97%)

Domain Information

The domain name 'furniture-qp1uaeyq4a.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'furniture-qp1uaeyq4a'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside three consonants. It segments into 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://furniture-qp1uaeyq4a.edgeone.app/

Page Load Overview

1.60s
Total Load Time
35
HTTP Requests
9
Domains
2.5 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:36,641 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical97% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
97%
education learning
95%
adult content
88%
e-commerce shopping
88%
healthcare medical
86%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7142.251.13.95United States
AS15169Google LLC
434.149.250.58Kansas City, Missouri, United States
AS396982Google LLC
4104.18.11.81Singapore
AS139341
4104.18.31.112United States
AS13335Cloudflare, Inc.
4142.251.110.94United States
AS15169Google LLC
443.152.26.58Singapore
AS139341ACE
4184.24.77.36Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
423.227.38.65Ottawa, Ontario, Canada
AS13335Cloudflare, Inc.
358--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T127B375A1E1E1213A117780C161A9075F3AE1D76BF68F264077FC87789FCECA1B923589

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:W7hOVtN97hm4HYcN8h8MFfb+cFIk+FpsYQ90NtIXLNBZ/w/JD81tox:jnCDSQyDmtw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:116923:wqwLMQhEoQTIAkKhGAosEiAUAQAJAIkCA7lG2jQAAJhXRQgAFsBEiGLgQvA7bGHQwA0goSEQYIVZTmIACAMJkQSMQgEUSSRg

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:00ff3c3c3c3c3c3c
Perceptual Hash:92384d6d6e6c6c6c
Difference Hash:71d1d96d49796161
Wavelet Hash:003d3d3d3c3c3d3c
Color Hash:#9dc587

Other Hashes

Crop Resistant:71d1d96d49796161,0913133131131309

Scan History

Scan history not available

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