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Security Scan Report: ilovepitayahugo-ovmv3xiv1c.edgeone.app

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Submitted: May 19, 2026, 5:07:40 PMCompleted: May 19, 2026, 5:09:59 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 14 HTTP transactions. The main domain is ilovepitayahugo-ovmv3xiv1c.edgeone.app and was registered NaN years ago.

Submitted URL: https://ilovepitayahugo-ovmv3xiv1c.edgeone.app/19836-scott-boras-net-worth-clients-wife-children.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 to be a low‑risk informational article with no forms or malicious indicators.

Risk Factors
Unknown subdomain age
Low domain ranking
Safety Factors
No credential or payment collection
No malicious indicators (IoC, YARA, IDS alerts)
Page marked as an article (og:type=article) – reporting content, not phishing
Domain age information unavailable

Details

Page Title

Scott Boras Net Worth, Clients, Wife, Children

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(53%)

Domain Information

Domain 'ilovepitayahugo-ovmv3xiv1c.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'ilovepitayahugo-ovmv3xiv1c'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and 3 consonants. Tokenizing the label suggests two 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://ilovepitayahugo-ovmv3xiv1c.edgeone.app/19836-scott-boras-net-worth-clients-wife-children.html

Page Load Overview

30.56s
Total Load Time
20
HTTP Requests
12
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:3,999 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business53% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
53%
government public service
46%
entertainment media
46%
phishing scam
40%
news media journalism
39%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8192.178.170.95United States
AS15169Google LLC
2172.67.150.240United States
AS13335Cloudflare, Inc.
2142.251.20.94United States
AS15169Google LLC
2172.66.169.241United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
2104.20.7.223United States
AS13335Cloudflare, Inc.
2172.240.127.242United States
AS7979Servers.com, Inc.
207--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
Statcounter
20%
DTScout
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T180621823B289223C76744384E1D9F3BDB5798009D303D9F47489E32C96C95E755AFAC8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:WS4hnYf8zX+PrJKJfJ/ck6S57pcHa7ijCT7e3wYYrWag4MDw:n4hnz+PmJUe57pcHgT7e7YrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15238:CIFIhgjRxYQkQhAMi4lQcUngJEIMUIKoixCEJojhAECEsKnBahjWVAUDGBQqFIGQYgOhCMZGlBAAMQzRogOLSSDAGBZR8eoS

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:00000020002000ff
Perceptual Hash:c246ed43971b9e38
Difference Hash:c1c5d9c9c9d5c101
Wavelet Hash:3c203c3c3c3c38ff
Color Hash:#a1d22d

Other Hashes

Crop Resistant:c1c5d9c9c9d5c101,c0c3d9c1c1d5c1d1

Scan History

Scan history not available

Unable to load historical scan data