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Security Scan Report: roasted-emerald-lvq3d27nb4-xmruw9tv8o.edgeone.app

Submitted: Apr 9, 2026, 2:32:02 PMCompleted: Apr 9, 2026, 2:33:24 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 14 HTTP transactions. The main domain is roasted-emerald-lvq3d27nb4-xmruw9tv8o.edgeone.app and was registered NaN years ago.

Submitted URL: https://roasted-emerald-lvq3d27nb4-xmruw9tv8o.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Low‑risk site on edgeone.app; no malicious indicators but new subdomain and low ranking warrant caution.

Risk Factors
Subdomain on hosting platform with unknown age
Low domain ranking (455,732) indicating limited reputation
Safety Factors
No credential or payment collection forms
No JavaScript malware patterns detected
No network IDS alerts
Standard hosting (not IPFS or cloud storage) and no noindex tags
Domain age information unavailable

Details

Page Title

きもの市場様 LINE TOUCH活用のご提案 - 株式会社フォーグローブ

Scan Type

public

Language

🇯🇵

Japanese

(80% confidence)

Category

e-commerce shopping

(96%)

Domain Information

Within the application-focused generic top-level domain (.app), 'roasted-emerald-lvq3d27nb4-xmruw9tv8o.edgeone.app' is registered with subdomain 'roasted-emerald-lvq3d27nb4-xmruw9tv8o'. The core label 'edgeone' covers 7 characters holding 4 vowels versus three consonants. Word splitting yields two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://roasted-emerald-lvq3d27nb4-xmruw9tv8o.edgeone.app/

Page Load Overview

2.07s
Total Load Time
6
HTTP Requests
2
Domains
3.2 MB
Total Size

Language Analysis

Primary Language

🇯🇵Japanese
Code: ja
Confidence:80%
Script:Mixed
Direction:ltr

Detection Details

Language Code:ja
Detection Confidence:80%
Script Type:Mixed
HTML Lang Attribute:ja
Text Length:1,927 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping96% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
96%
corporate business
81%
technology software
72%
social media network
67%
government public service
67%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
AS139341ACE
323.58.108.45Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
62--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DC062376AEE30F3F0884516A74AF2FCD1F645D63914ED1B2B09CDEE2ABDAE40450652C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

49152:BkvjN7x9ZyGO9zxM111f10+KrkvjN7x9ZyGO9zxM111f10+KOgXGeM0ape1k7ByA:6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3964562:phBxBANEpCBkUDAIUyAQIGRaIgiOrUlKakgiwsDASwGgCCStkAKQGQsYeiZIKUISGCQeyUAAAw0BgoQJiAyD3CDCE0AAIUDs

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:ffc3c3c3c3c3ffff
Perceptual Hash:ed3d9292939233cc
Difference Hash:0e1717333333c84a
Wavelet Hash:ef8181818181fff7
Color Hash:#8797c5

Other Hashes

Crop Resistant:0e1717333333c84a,14e8b0949490d220,aa9494e8f4c0f082,1030301020707020

Scan History

Scan history not available

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