Security Scan Report: greenmapnetwork-dpvn9uupwx8d.edgeone.dev

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Submitted: Sep 18, 2026, 4:09:46 PMCompleted: Sep 18, 2026, 4:10:25 PMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 55%

3
Risk Score

Unranked edgeone.dev subdomain serving auto-generated Japanese filler content, likely SEO spam. No forms, no brand impersonation, no malware; only a generic abuse-reputation IP tag that carries no content weight.

Risk Factors
Free hosting-platform subdomain with unknown creation date
Unranked domain (not in Cisco Umbrella top 1M)
Low-quality, algorithmically generated filler content with sponsored/recommendation template blocks typical of SEO spam
Safety Factors
No forms of any kind — 0 password, 0 disguised-password, 0 payment fields (verified from DOM)
No brand impersonation — page uses its own 'Handy Beacon' byline; no third-party brand claimed
og:type is 'article'; content is informational/blog-style, not a credential or payment page
No JavaScript malware, no YARA hits, no high-precision native scanner hits
No network IDS alerts; no cross-origin credential exfiltration
Threat-intel match is a single-source generic abuse-reputation tag, not content malware
Domain age information unavailable

Details

Page Title

【完全ガイド】ぜんぜんいないの基本と実践手順: 実用ガイド

Scan Type

public

Domain Name Analysis

You're looking at domain 'greenmapnetwork-dpvn9uupwx8d.edgeone.dev' on the developer-focused generic top-level domain (.dev) and includes subdomain 'greenmapnetwork-dpvn9uupwx8d'. Count 7 characters in 'edgeone' holding four vowels versus three consonants. Breaking it apart gives two 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://greenmapnetwork-dpvn9uupwx8d.edgeone.dev/

Page Load Overview

1.84s
Total Load Time
394 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:ja
Text Length:2,655 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning75% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
75%
healthcare medical
68%
adult content
65%
government public service
53%
technology software
50%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.174.246.29Singapore
1142.251.20.97Google · CDNUnited States
AS15169Google LLC
1192.178.170.95Google · CDNUnited States
AS15169Google LLC
1172.240.108.84United States
AS7979Servers.com, Inc.
1172.67.150.240Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
143.174.247.29Singapore
1172.240.127.234United States
AS7979Servers.com, Inc.
1192.178.183.94Google · CDNUnited States
AS15169Google LLC
1216.239.34.36Google · CDNUnited States
AS15169Google LLC
1172.66.129.60Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1412--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17FB2B56312006339FA2AAA54BB977B4AF214E503F40569B97DDD4009C3CE1FDD2B7A4B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:DQ94IRoip9H0+yOxeU6Hr50qI+t+LOFg4NbMNo1zekyULSRLsmjbbCDLcDNgIT3D:0xfFyOxe9VIE+EbMNKzekXWoLcD2EQYb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23470:ShRAhGKEyKFsFICIUgPEQCFWGZUqApAKakoCRRLOElDKCFiBVGQAGktioibQOogVBmoV4oSThJIqgijFEZRDyQgAEyUDSI0D

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:ff9f9f8fdf0000ff
Perceptual Hash:b89cc747b80c93c7
Difference Hash:6638393133c92110
Wavelet Hash:ff8c8f0d3f0000df
Color Hash:#931f5f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data