Security Scan Report: garyshouldershugo-dzjtp4eikm.edgeone.app

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Submitted: May 19, 2026, 7:22:50 AMCompleted: May 19, 2026, 7:24:10 AMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 13 HTTP transactions. The main domain is garyshouldershugo-dzjtp4eikm.edgeone.app and was registered NaN years ago.

Submitted URL: https://garyshouldershugo-dzjtp4eikm.edgeone.app/13338-luke-bryan-his-nephew-had-way-too-much-fun-on-new-years-eve.html

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

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

Low‑risk article page with no malicious indicators; safe for normal browsing.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain reputation ranking
High JavaScript obfuscation score (indicative of heavy minification, not malware)
Safety Factors
No forms collecting credentials or payments
No Indicators of Compromise matched in threat intel
No JavaScript malware patterns detected
No network IDS alerts
Content classified as a news article, not brand impersonation
Domain age information unavailable

Details

Page Title

Luke Bryan + His Nephew Had Way Too Much Fun on New Year's Eve

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(77%)

Domain Information

You're looking at domain 'garyshouldershugo-dzjtp4eikm.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'garyshouldershugo-dzjtp4eikm'. The second-level label 'edgeone' is 7 characters long split between four vowels and three consonants. Word splitting yields 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://garyshouldershugo-dzjtp4eikm.edgeone.app/13338-luke-bryan-his-nephew-had-way-too-much-fun-on-new-years-eve.html

Page Load Overview

12.44s
Total Load Time
19
HTTP Requests
12
Domains
104 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:3,071 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media77% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
77%
documentation technical
57%
adult content
49%
download file sharing
42%
news media journalism
40%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7101.33.10.10Frankfurt am Main, Hesse, Germany
2104.21.0.120United States
AS13335Cloudflare, Inc.
2142.251.14.94United States
AS15169Google LLC
2142.251.14.95United States
AS15169Google LLC
2172.66.169.241United States
AS13335Cloudflare, Inc.
2172.240.127.234United States
AS7979Servers.com, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
197--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18A62E81BF9D0252C2B32115AA0C2B77CBC7DD436E7528C70A5B9B73987C6EDB4C62588

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:rhnYf8zX+bFJKJ0Jal8ZVV6SAZoZIAVeYYrWag4MDK:rhnz+bvJJASAZoZI+RYrWag4AK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14746:ZQiDMwBCmYRUQAAgFBLJTyAHAyhAeYWCAAgAFlhBcWgEkcCaNgYFCB4gDIMwlAMp5EwwOQghAs4UQn6AgCIJi6AIgDigg56A

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:3000043c200000ff
Perceptual Hash:c347ed6dc7069c06
Difference Hash:60c2ccd0c8334800
Wavelet Hash:7c307e7e7c0000ff
Color Hash:#d2ad79

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data