Security Scan Report: gobeavercountyhugo-vw19kiqks4.edgeone.app

Site favicon
Submitted: May 21, 2026, 9:04:18 AMCompleted: May 21, 2026, 9:05:54 AMpubliccompleted
Loading additional data...

Summary

This website contacted 8 IPs in 2 countries across 9 domains to perform 14 HTTP transactions. The main domain is gobeavercountyhugo-vw19kiqks4.edgeone.app and was registered NaN years ago.

Submitted URL: https://gobeavercountyhugo-vw19kiqks4.edgeone.app/15891-17-enigmatic-facts-about-3d-printing.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

The site appears low risk with no phishing or malware indicators, but unknown subdomain age warrants caution.

Risk Factors
Unknown subdomain age on a hosting platform
Low Cisco Umbrella ranking (#455,732)
High JavaScript obfuscation score (but no malware match)
Safety Factors
No forms collecting credentials or payments
Content classified as article/news, not a phishing landing page
No external malicious links or network alerts
Domain age information unavailable

Details

Page Title

17 Enigmatic Facts About 3D Printing

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(78%)

Domain Information

The domain name 'gobeavercountyhugo-vw19kiqks4.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'gobeavercountyhugo-vw19kiqks4'. The second-level label 'edgeone' is 7 characters long holding four vowels versus 3 consonants. It segments into two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gobeavercountyhugo-vw19kiqks4.edgeone.app/15891-17-enigmatic-facts-about-3d-printing.html

Page Load Overview

19.15s
Total Load Time
20
HTTP Requests
14
Domains
34 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:10,763 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business78% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
78%
healthcare medical
77%
news media journalism
64%
adult content
58%
documentation technical
44%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6142.251.13.95United States
AS15169Google LLC
2172.66.169.241United States
AS13335Cloudflare, Inc.
2142.251.14.94United States
AS15169Google LLC
243.152.26.58Singapore
2172.240.108.68United States
AS7979Servers.com, Inc.
2104.20.8.223United States
AS13335Cloudflare, Inc.
2104.18.11.207United States
AS13335Cloudflare, Inc.
2172.67.150.240United States
AS13335Cloudflare, 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

T1C5A2FA23F6C0223C47920355916533ECFA7ACC2AA3F95894EC9C822C5F961DB537A6D9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMBhnYf8zX+y+JKJhJ/ceJKcLGgIgpmMSMS9yexSJdzYrWag4MDw:bQBhnz+ytJUeJDGgfmMSTy7YrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22106:ILAgoZ6QJAYACXClAwAMAsjbYJgMcRJkXiEgSGQGEiQZGgRmJIDCADrhsMmoEEniiEBa0VRfBABiQSMVIUkMARJyGwcAGAaQ

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:efdfc7c3c3c3c3c3
Perceptual Hash:b4d3c3326664c7c6
Difference Hash:0e18061616161616
Wavelet Hash:e6cec2c2c3c3c3c3
Color Hash:#7a2dd2

Other Hashes

Crop Resistant:0e18061616161616

Scan History

Scan history not available

Unable to load historical scan data