Security Scan Report: gobeavercountyhugo-vw19kiqks4.edgeone.app

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Submitted: May 20, 2026, 2:02:17 AMCompleted: May 20, 2026, 2:04:26 AMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 13 HTTP transactions. The main domain is gobeavercountyhugo-vw19kiqks4.edgeone.app and was registered NaN years ago.

Submitted URL: https://gobeavercountyhugo-vw19kiqks4.edgeone.app/20978-club-universidad-nacional-21-football-club-facts.html

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

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The site is an informational article with moderate risk due to unknown subdomain age, low ranking, and obfuscated scripts, but no phishing or malware signs.

Risk Factors
Unknown subdomain age (could be newly created)
Low domain reputation ranking
High JavaScript obfuscation score
Safety Factors
No forms or credential fields present
No Indicators of Compromise matched
No JavaScript malware patterns detected
No network IDS alerts
Page type is informational article
Domain age information unavailable

Details

Page Title

Club Universidad Nacional: 21 Football Club Facts

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(37%)

Domain Information

Within the application-focused generic top-level domain (.app), 'gobeavercountyhugo-vw19kiqks4.edgeone.app' is registered; it also runs on subdomain 'gobeavercountyhugo-vw19kiqks4'. Its registrable label 'edgeone' stretches across 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://gobeavercountyhugo-vw19kiqks4.edgeone.app/20978-club-universidad-nacional-21-football-club-facts.html

Page Load Overview

54.10s
Total Load Time
20
HTTP Requests
13
Domains
33 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:9,383 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism37% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
37%
corporate
35%
adult content
26%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6104.18.10.207United States
AS13335Cloudflare, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2142.250.154.95United States
AS15169Google LLC
2104.20.8.223United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
2172.66.169.241United States
AS13335Cloudflare, Inc.
2142.251.110.94United States
AS15169Google LLC
2172.240.127.242United States
AS7979Servers.com, Inc.
208--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11E9209236F800239561343849255B3ED7B7D8917E7C6C4D4A899637C8386ADB7AB3ECC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMuhnYf8zX+bwJKJhJ/cgJMU098O+Er9GBA9UX/MlJzYrWag4MDw:bQuhnz+bXJUgJMU098O+VfX/AYrWag4H

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20854:gIFEABkQgJMKNpIFwgE+CYSJPNADqZAiCAhEHWAIEgrEEwgiTGQ1NpnViaKJ+AfwAAAIQ0BA0DEDiQAyIgEmFCk0A4aDfpIA

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:e7cfffc3c3c3c3c3
Perceptual Hash:b4d38330c765c765
Difference Hash:0e1c161616161616
Wavelet Hash:e7c6c2c2c3c3c3c3
Color Hash:#552d86

Other Hashes

Crop Resistant:0e1c161616161616

Scan History

Scan history not available

Unable to load historical scan data