Security Scan Report: tokutibihugo-hhp6yp5g4e.edgeone.app

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Submitted: May 18, 2026, 5:45:15 PMCompleted: May 18, 2026, 5:47:16 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 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/16136-red-hot-olympic-champion-cheung-ka-long-eyes-fencings-world-no-1-ranking-at-cairo-world-cup-serie.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%

3
Risk Score

Low risk page; no forms or malicious indicators, but unknown subdomain age and high JS obfuscation suggest caution.

Risk Factors
High JavaScript obfuscation score
Low Cisco Umbrella ranking (455,732)
Subdomain on hosting platform with unknown age
Safety Factors
No forms or credential collection present
Page type is article, not a login or payment page
No malicious Indicators of Compromise or YARA matches
No network IDS alerts detected
Content appears to be a news article about an Olympic champion
Domain age information unavailable

Details

Page Title

Red hot Olympic champion Cheung Ka-long eyes fencings world No 1 ranking at Cairo World Cup serie

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

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 holding four vowels versus 3 consonants. It segments into two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tokutibihugo-hhp6yp5g4e.edgeone.app/16136-red-hot-olympic-champion-cheung-ka-long-eyes-fencings-world-no-1-ranking-at-cairo-world-cup-serie.html

Page Load Overview

49.46s
Total Load Time
21
HTTP Requests
13
Domains
25 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:4,687 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7104.20.23.96United States
AS13335Cloudflare, Inc.
2172.240.127.234United States
AS7979Servers.com, Inc.
2188.114.96.3United States
AS13335Cloudflare, Inc.
2172.217.208.95United States
AS15169Google LLC
2142.251.20.94United States
AS15169Google LLC
2104.20.7.223United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
2104.21.0.120United States
AS13335Cloudflare, Inc.
218--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CC621813B644173D6670414098D6FAFDB47D8433F34288B1A4EDE328EA8B6D3B9329D9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:WS8FhnYf8zX+S264+2+x2Cc2oJKJLP69H2N2M3XUCgsYYrWag4MDoq2:n8Fhnz+St4+XxFc+uHyt3Xe3YrWag4AW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15575:NgSkxFABAYghgZAGUVQwICQECGYFhmCgeCAgy1RDBQAYiyHChiICThkBUQQudAAwYIHgwkRpWAwICIljAi0wQwCAHaTqIUgA

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:1820003c3c3c3c38
Perceptual Hash:8a33cc339c339c67
Difference Hash:f1c1e1d5c1d1cdb3
Wavelet Hash:197c003c3d7d7c19
Color Hash:#d2642d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data