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Security Scan Report: tokutibihugo-hhp6yp5g4e.edgeone.app

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Submitted: May 20, 2026, 3:29:27 PMCompleted: May 20, 2026, 3:31:00 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 13 HTTP transactions. The main domain is tokutibihugo-hhp6yp5g4e.edgeone.app and was registered NaN years ago.

Submitted URL: https://tokutibihugo-hhp6yp5g4e.edgeone.app/241-how-to-use-a-theragun-percussion-massager-for-sleep-and-tech-neck-zedblog.html

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

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

Moderate risk due to unknown subdomain age and low reputation, but no phishing or malware observed.

Risk Factors
Unknown subdomain age on hosting platform
Low domain reputation ranking
High JavaScript obfuscation score
Brand mention on low‑ranked, newly created subdomain
Safety Factors
Page type is an article (og:type=article) indicating informational content
No forms collecting credentials or payments
No Indicators of Compromise matched in threat intelligence
No network IDS alerts or malware YARA detections
Domain age information unavailable

Details

Page Title

How to Use a Theragun Percussion Massager for Sleep and Tech Neck - ZedBlog

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(70%)

Domain Information

The domain name 'tokutibihugo-hhp6yp5g4e.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'tokutibihugo-hhp6yp5g4e'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside 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://tokutibihugo-hhp6yp5g4e.edgeone.app/241-how-to-use-a-theragun-percussion-massager-for-sleep-and-tech-neck-zedblog.html

Page Load Overview

24.34s
Total Load Time
20
HTTP Requests
12
Domains
26 KB
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-US
Text Length:6,525 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical70% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
70%
adult content
55%
blog personal website
38%
government public service
35%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8172.240.127.234United States
AS7979Servers.com, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2104.20.8.223United States
AS13335Cloudflare, Inc.
2172.217.208.95United States
AS15169Google LLC
2192.178.183.94United States
AS15169Google LLC
2101.33.10.57Frankfurt am Main, Hesse, Germany
AS139341ACE
2172.66.169.241United States
AS13335Cloudflare, Inc.
207--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
Statcounter
20%
DTScout
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11182E72BFA44152C133313A1B485BBBC797A9429F79248E559ECD2AC938D6E709733CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:WS4hnYf8zX+9PJKJLJ/cj6NHP9l7z6rWhfAGi8JMUNYYrWag4MDw:n4hnz+9wJU2HnWWBAkqhYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17987:7CBgBQIKjBgRFQRwpMITh5QB1osewUCAjAUHxBQRUEARdgFNIgRy0EAJZAAq3kIiA0sSGHIiJN1DygoAFBkAIiiMoEiKIw4N

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:00000000000000ff
Perceptual Hash:826ded0a9d0abc3e
Difference Hash:f1c1c5c9c1d1c1c1
Wavelet Hash:1830383c3c3c3dff
Color Hash:#5d53ac

Other Hashes

Crop Resistant:f1c1c5c9c1d1c1c1,f1c1c5c1c9c1c1c5

Scan History

Scan history not available

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