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Security Scan Report: tokutibihugo-hhp6yp5g4e.edgeone.app

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Submitted: May 20, 2026, 5:49:04 PMCompleted: May 20, 2026, 5:51:43 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 14 HTTP transactions. The main domain is tokutibihugo-hhp6yp5g4e.edgeone.app and was registered NaN years ago.

Submitted URL: https://tokutibihugo-hhp6yp5g4e.edgeone.app/23149-chuck-schuldiner.html

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

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Low risk site; likely a legitimate article with no phishing or malware indicators.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain reputation ranking
High JavaScript obfuscation score (though not malicious alone)
Safety Factors
Page type is an article (og:type=article) with no brand impersonation
No forms or credential collection
No malicious Indicators of Compromise or YARA detections
No network IDS alerts
Domain age information unavailable

Details

Page Title

Chuck Schuldiner

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(77%)

Domain Information

Within the application-focused generic top-level domain (.app), 'tokutibihugo-hhp6yp5g4e.edgeone.app' is registered and includes subdomain 'tokutibihugo-hhp6yp5g4e'. The core label 'edgeone' covers 7 characters split between four vowels and 3 consonants. Tokenizing the label suggests 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tokutibihugo-hhp6yp5g4e.edgeone.app/23149-chuck-schuldiner.html

Page Load Overview

90.19s
Total Load Time
19
HTTP Requests
12
Domains
24 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:4,046 chars
Detector Agreement:67%

Website Classification

Primary Category

adult content77% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
77%
news media journalism
61%
entertainment media
61%
finance banking
57%
documentation technical
55%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
2104.21.0.120United States
AS13335Cloudflare, Inc.
2142.251.209.234United States
AS15169Google LLC
2104.20.8.223United States
AS13335Cloudflare, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2172.240.108.76United States
AS7979Servers.com, Inc.
2142.251.14.94United States
AS15169Google LLC
197--

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

T1BF62E82BBA48323CF7210156E4C2B3BD6E28C107EB57ACB479D4E364CA86AD799355C4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:WSyhnYf8zX+1lmySYJKJLJ/cj6geP5e4CDPYYrWag4MDw:nyhnz+1lmySNJUveP5e4CDQYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15106:PA6aFnkwK4QpgCBAWJMgCAABAQM0ABEA2CRA4CqBAQYUiUncqyAg2MRGWBggJiSISJeBjEHRHzkeJA3SIBZIUADBsDJkSRgA

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:00000020003800ff
Perceptual Hash:8269bd0add0e9e1e
Difference Hash:f1d5c9c9c1c1c111
Wavelet Hash:18003c3c7c7c3cff
Color Hash:#3a7278

Other Hashes

Crop Resistant:f1d5c9c9c1c1c111,f1d7e1c9d1d1c1c1

Scan History

Scan history not available

Unable to load historical scan data