Security Scan Report: unique-violet-lteux1jv-dpmp8iweqgps.edgeone.dev

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Submitted: Completed: publiccompleted
This website contacted 41 IPs in 5 countries across 28 domains to perform 212 HTTP transactions. The main domain is edgeone.dev and was registered 1 year 4 months ago.

Submitted URL: https://unique-violet-lteux1jv-dpmp8iweqgps.edgeone.dev/

AI Security Verdict

Low Risk

Confidence: 68%

2
Risk Score

A preview/staging deployment of the kpiee corporate site on an edgeone.dev subdomain. No forms, no credential or payment collection, no malware or phishing content evidence; threat-intel hits are generic reputation-only tags. No concrete malicious signal found.

Safety Factors (5)
No forms of any kind — no credential, login, or payment collection
No IoC content-malware matches, no YARA/JS malware, no malware or phishing IDS alerts (only an INFO AdWords heuristic)
Content is consistent, well-structured corporate marketing copy with case studies, FAQ and contact sections
Assets served from the product's own domain kpiee.com; 13 of 14 script hosts are top-1M ranked
og:type is 'article' and the page merely describes its own product
Domain age information unavailable

Details

Page Title

kpieeサイト刷新_v2

Scan Type

public

Domain Name Analysis

The domain 'unique-violet-lteux1jv-dpmp8iweqgps.edgeone.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'unique-violet-lteux1jv-dpmp8iweqgps'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and 3 consonants. Word splitting yields 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://unique-violet-lteux1jv-dpmp8iweqgps.edgeone.dev/

Page Load Overview

8.71s
Total Load Time
6.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:ja
Text Length:18,971 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business68% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate business
68%
social media network
41%
government public service
36%
technology software
35%
finance banking
26%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1243.174.247.29Singapore
5151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
518.245.31.67Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
5142.251.110.95Google · CDNUnited States
AS15169Google LLC
5104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
535.76.161.233Aws · CLOUDTokyo, Tokyo, Japan
AS16509Amazon.com, Inc.
53.174.46.57Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
5192.178.183.97Google · CDNUnited States
AS15169Google LLC
520.250.198.32Azure · CLOUDZurich, Zurich, Switzerland
AS8075Microsoft Corporation
5150.171.109.104Azure · CLOUDUnited States
AS8075Microsoft Corporation
21241--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16B646194E1F6543B913781C792BE677A31E590ABE91A5100F3FC07792BCED89F803869

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:ChsVS1LLxfUYGrPDrIuWlQ/AczKDpyN5+G++SeyJe:M1L5UY8MTJe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:311407:BRAQGMADDRAiwWkpdBQDgKwaTLARsQUhUBAQAWQhACBB3GLAO1DMAor1jJIoEg+VSRkgAsDkYAplInVAhzoAxAJTE2jkAoAT

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:c1c7c7d3c3ffffd3
Perceptual Hash:f1634aca4ccacb63
Difference Hash:911c1d2307312326
Wavelet Hash:40c3c78181dfff83
Color Hash:#d2797e

Other Hashes

Crop Resistant:911c1d2307312326

Scan History

Scan history not available

Unable to load historical scan data