Security Scan Report: africangrovehugo-hrtt52jxs0.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 12 domains to perform 23 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://africangrovehugo-hrtt52jxs0.edgeone.app/16582-will-zalatoris-bio-girlfriend-children-caddy-and-net-worth.html

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

AI Security Verdict

Moderate Risk

Confidence: 68%

4
Risk Score

The site shows moderate risk due to unknown subdomain age, low ranking, and heavily obfuscated JavaScript, but lacks forms or malicious indicators.

Risk Factors (3)
Unknown subdomain age on a hosting platform
Low domain reputation ranking
High JavaScript obfuscation score
Safety Factors (4)
No login or payment forms
No credential exfiltration observed
Page marked as an article (og:type=article) – not brand impersonation
No network IDS alerts or malicious YARA matches
Domain age information unavailable

Details

Page Title

Will Zalatoris' bio: girlfriend, children, caddy, and net worth

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'africangrovehugo-hrtt52jxs0.edgeone.app' is registered with subdomain 'africangrovehugo-hrtt52jxs0'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus three consonants. Tokenizing the label suggests 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://africangrovehugo-hrtt52jxs0.edgeone.app/16582-will-zalatoris-bio-girlfriend-children-caddy-and-net-worth.html

Page Load Overview

13.42s
Total Load Time
191 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:8,625 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content72% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
72%
social media network
47%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
574.125.29.95United States
AS15169Google LLC
3142.251.14.94United States
AS15169Google LLC
3104.21.0.120United States
AS13335Cloudflare, Inc.
3104.20.23.96United States
AS13335Cloudflare, Inc.
3172.240.108.68United States
AS7979Servers.com, Inc.
343.152.26.58Singapore
3104.20.8.223United States
AS13335Cloudflare, Inc.
237--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17C922A67E389033C5F2143C9F285B7BC7D78841AE3128EE07899A36CA7C65D706796C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:ZGthnYf8zX+RQ8puPJKJXJ/cDo8Mm/bt/EVk/WD1gPacgK6v6MYYrWag4MDw:Ythnz+RQ8puEJUDqubt/9OOSK60YrWaX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20381:QLwGMYEEYAQ4LOknUBELFzTGiBxBYZQD4iAIWZhwQNkIxCDJASSZ0fwBDBAhgQgNEByARlgweYBoC2ADCIg4UlgCR7AjEyap

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:87dfc383c3c3c3c3
Perceptual Hash:bd92d33a3139c169
Difference Hash:1e2c1e1627373b26
Wavelet Hash:87ffc383838383c3
Color Hash:#b7d22d

Other Hashes

Crop Resistant:1e2c1e1627373b26

Scan History

Scan history not available

Unable to load historical scan data