Security Scan Report: artikel-69b5dd2c1248-dpnxxg3ylwbi.edgeone.dev

Site favicon
Submitted: Sep 25, 2026, 3:27:52 AMCompleted: Sep 25, 2026, 3:28:45 AMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 58%

4
Risk Score

Anonymous edgeone.dev subdomain hosting thin, auto-generated SEO doorway content with sponsored outbound links. No forms, no credential harvesting, no brand impersonation, no malware or IDS signals — low-grade spam, not a phishing or malware page.

Risk Factors
Doorway-style SEO spam page with thin, templated content and sponsored outbound links
Unknown subdomain age on a free/instant publishing platform (edgeone.dev) — age is not attributable to this page
Safety Factors
No login, password, or payment forms anywhere on the page; no credential collection possible
No JavaScript malware (YARA), no IDS/Suricata alerts, no Google Safe Browsing hit
No cross-origin credential exfiltration detected; no obfuscated JS with network sink
No impersonation of any other entity's brand (self-branded 'Open Guide', og:type article)
Domain age information unavailable

Details

Page Title

0 コンテナガーデン向けの自動水やり装置 人気ランキング: A Practical Starter Guide

Scan Type

public

Domain Name Analysis

The domain name 'artikel-69b5dd2c1248-dpnxxg3ylwbi.edgeone.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'artikel-69b5dd2c1248-dpnxxg3ylwbi'. The registrable portion 'edgeone' spans 7 characters split between four 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://artikel-69b5dd2c1248-dpnxxg3ylwbi.edgeone.dev/

Page Load Overview

1.54s
Total Load Time
395 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:33%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:ja
Text Length:3,071 chars
Detector Agreement:75%
Language mismatch: Declared as ja but detected as en

Website Classification

Primary Category

education learning69% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
69%
technology software
44%
real estate property
41%
government public service
41%
healthcare medical
40%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
543.174.247.29Singapore
1192.178.183.97Google · CDNUnited States
AS15169Google LLC
1192.178.183.95Google · CDNUnited States
AS15169Google LLC
1172.240.108.68United States
AS7979Servers.com, Inc.
1172.67.150.240Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1172.240.127.244United States
AS7979Servers.com, Inc.
1192.178.183.94Google · CDNUnited States
AS15169Google LLC
1104.20.8.131Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1216.239.34.36Google · CDNUnited States
AS15169Google LLC
1172.240.108.84United States
AS7979Servers.com, Inc.
1612--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17AA2D71713006339B667A991FA97734AF219D003E50569BA7EDD8009C3CE1FE42B7B9B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:O61p4IRotJpL0LSkN0UagHr50qI+t+LOFg4NbMNo1zekyULSRLsmjbbCDLpv1NuG:OsVY6SkN0RgVIE+EbMNKzekXWoLF1sYp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22984:OFhYNgCAX0YBAibGEtDEJpgDASIItgUIIgdATEGBAOBMQEIiQhSLVjMRgBwKiM1tCAEyLTRgMnH0sOQsQLfNAAxEjgWiqYwQ

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:ffdfcfdfffdfff00
Perceptual Hash:b8b547cc469638e3
Difference Hash:603a393d39330019
Wavelet Hash:ff8e8f9f8c88f000
Color Hash:#2d6b86

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data