Security Scan Report: macgraypartshugo-ozie4d70li.edgeone.app

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Submitted: May 18, 2026, 6:17:07 PMCompleted: May 18, 2026, 6:18:28 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 15 HTTP transactions. The main domain is macgraypartshugo-ozie4d70li.edgeone.app and was registered NaN years ago.

Submitted URL: https://macgraypartshugo-ozie4d70li.edgeone.app/17945-victoria-paige-meyerink.html

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

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The site appears to be a low‑risk informational article with no malicious activity detected.

Risk Factors
Unknown subdomain age on hosting platform
Low domain ranking
High JavaScript obfuscation score
Safety Factors
No login or payment forms
No credential exfiltration detected
No malicious Indicators of Compromise
No JavaScript malware patterns
Page type is an article (og:type=article)
Domain age information unavailable

Details

Page Title

Victoria Paige Meyerink

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(71%)

Domain Information

The domain 'macgraypartshugo-ozie4d70li.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'macgraypartshugo-ozie4d70li'. The registrable portion 'edgeone' spans 7 characters split between four vowels and 3 consonants. Breaking it apart gives 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://macgraypartshugo-ozie4d70li.edgeone.app/17945-victoria-paige-meyerink.html

Page Load Overview

12.00s
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:3,114 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical71% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
71%
entertainment media
67%
documentation technical
62%
adult content
53%
education learning
47%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7172.66.169.241United States
AS13335Cloudflare, Inc.
274.125.206.95United States
AS15169Google LLC
2188.114.97.3United States
AS13335Cloudflare, Inc.
2172.240.127.244United States
AS7979Servers.com, Inc.
2101.33.10.57Frankfurt am Main, Hesse, Germany
2172.67.150.240United States
AS13335Cloudflare, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2192.178.183.94United States
AS15169Google LLC
218--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18352F917EE80111CAB614B59E1C1F63C7E2E8416D3E1CD5C6AD5AB2C8BC2AEF4775908

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:2GThnYf8zX+/TJKJa66hPY2E99KjQsPYYrWag4MDoq2:FThnz+/9Hg2E9QUsQYrWag4Aoq2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13486:wakBNwEAIDFF5FCVkkCyFQxaAQAdDEAgAHAAEUhTNQCiyVCAAnbCQmZQBAmxplHJQxGQgvRQDYMQs24CAAhgA8ihKiCCTCoY

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:7c003c7c7c380018
Perceptual Hash:c9639c6798369c36
Difference Hash:d0c0e0c0c0c000b2
Wavelet Hash:7e607e7c7e7c0018
Color Hash:#c587ba

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data