Security Scan Report: gobeavercountyhugo-vw19kiqks4.edgeone.app

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Submitted: May 20, 2026, 9:27:39 PMCompleted: May 20, 2026, 9:29:18 PMpubliccompleted
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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/21884-zuku-kenya-internet-packages-and-connection-prices.html

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

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

The page is an informational article about Zuku Kenya hosted on a newly created subdomain; no malicious activity detected but unknown subdomain age and low ranking warrant caution.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain ranking for a brand‑related page
High JavaScript obfuscation score
Safety Factors
Page type is article (og:type="article") – content appears to be informational
No forms or credential‑harvesting elements
No Indicators of Compromise matched
No JavaScript malware patterns detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

Zuku Kenya internet packages and connection prices

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

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 holding 4 vowels versus 3 consonants. Breaking it apart gives 2 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://gobeavercountyhugo-vw19kiqks4.edgeone.app/21884-zuku-kenya-internet-packages-and-connection-prices.html

Page Load Overview

29.34s
Total Load Time
20
HTTP Requests
13
Domains
31 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:2,732 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
6104.20.23.96United States
AS13335Cloudflare, Inc.
2172.240.127.242United States
AS7979Servers.com, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2142.251.14.94United States
AS15169Google LLC
2104.20.7.223United States
AS13335Cloudflare, Inc.
2104.18.10.207United States
AS13335Cloudflare, Inc.
2142.251.110.95United States
AS15169Google LLC
243.152.26.58Singapore
208--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D952EA33FA85252CA7231584B0C2727C296D9426E792C8F4B6F993354FC22CBD5B7754

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMahnYf8zX+s5JKJhJ/c0PJcw1qG1vzYrWag4MDw:bQahnz+ssJU0PJcCqKYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14154:AAgIxhIQAZIJ1u0AMQGBQYGgSAQVhQkWGSYNJHgBljpDkQooawCGsgElefeYgEFAF1RYR5YIEgCQEKUlMgI0EKiYAXICAoMy

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:e7c7c3c3c3c7ffff
Perceptual Hash:b432c3b225c7c7c3
Difference Hash:0e1c16161e160002
Wavelet Hash:e6c6c28282c2fece
Color Hash:#6ce077

Other Hashes

Crop Resistant:0e1c16161e160002

Scan History

Scan history not available

Unable to load historical scan data