Security Scan Report: divetarifahugo-g7nukqh6xi.edgeone.app

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Submitted: May 18, 2026, 12:47:34 PMCompleted: May 18, 2026, 12:49:05 PMpubliccompleted
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Summary

This website contacted 21 IPs in 3 countries across 22 domains to perform 31 HTTP transactions. The main domain is divetarifahugo-g7nukqh6xi.edgeone.app and was registered NaN years ago.

Submitted URL: https://divetarifahugo-g7nukqh6xi.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 75%

5
Risk Score

The site impersonates a brand on a newly created subdomain, has many redirects and obfuscated scripts, indicating moderate risk.

Risk Factors
Brand mismatch with domain
Unknown subdomain age
Low domain reputation ranking
Multiple redirects
Highly obfuscated JavaScript
Safety Factors
No credential or payment forms present
No Indicators of Compromise matched
No malicious YARA patterns detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

20 Country Songs That Share a LGBTQ+ Perspective

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(82%)

Domain Information

The domain name 'divetarifahugo-g7nukqh6xi.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'divetarifahugo-g7nukqh6xi'. The core label 'edgeone' covers 7 characters with 4 vowels and three consonants. It segments into 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://divetarifahugo-g7nukqh6xi.edgeone.app/

Page Load Overview

22.14s
Total Load Time
52
HTTP Requests
26
Domains
2.2 MB
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:3,626 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping82% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
82%
entertainment media
80%
government public service
73%
news media journalism
67%
adult content
63%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12104.20.23.96United States
AS13335Cloudflare, Inc.
2192.0.66.112San Francisco, California, United States
AS2635Automattic, Inc
2142.251.14.94United States
AS15169Google LLC
2104.26.4.30United States
AS13335Cloudflare, Inc.
2104.20.8.223United States
AS13335Cloudflare, Inc.
2185.111.111.154Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
252.207.109.58Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
2172.240.127.243United States
AS7979Servers.com, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2151.101.1.91United States
AS54113Fastly, Inc.
5221--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T165C2A57195994F3A43960383B4807EEDF82FED07DA7788E5A5B7739583C2DE34A22441

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:uhnz+umvcxwC4Gb6YTOw4ICOTkuGYrWag4A6q2:BUxwCD6YTkICO9GYrWag4A6q2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:26414:xIokASIBVFwiITETGCjUlApBgBaOBh2GiEURFwhNQDYIlAKJoAQZq1GKikGDFGDgS9wgGtAGjkg0SDLEBKioZUICI3AQ8nmV

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:c7ef9f9f8f8f9f9f
Perceptual Hash:bee1e1e11c983e91
Difference Hash:1e0e2c243c2c283a
Wavelet Hash:c2c2869f87879f83
Color Hash:#d29e79

Other Hashes

Crop Resistant:1e0e2c243c2c283a

Scan History

Scan history not available

Unable to load historical scan data