Security Scan Report: goldjavahugo-pjpb4bdkq4.edgeone.app

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Submitted: May 18, 2026, 11:07:50 PMCompleted: May 18, 2026, 11:09:11 PMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 9 domains to perform 15 HTTP transactions. The main domain is goldjavahugo-pjpb4bdkq4.edgeone.app and was registered NaN years ago.

Submitted URL: https://goldjavahugo-pjpb4bdkq4.edgeone.app/24367-adele-arakawa.html

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

AI Security Verdict

Low Risk

Confidence: 84%

2
Risk Score

The site shows low risk: no malicious indicators, no forms, and appears to be an informational article despite an unknown subdomain age and low ranking.

Risk Factors
Domain has low Cisco Umbrella ranking (455,732)
Subdomain creation date unknown, increasing suspicion
High JavaScript obfuscation score (though not linked to malware)
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise or YARA matches
Content appears to be a news/article page about a person
Hosting platform (edgeone.app) is a legitimate static‑site service
Domain age information unavailable

Details

Page Title

Adele Arakawa

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(64%)

Domain Information

Domain 'goldjavahugo-pjpb4bdkq4.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'goldjavahugo-pjpb4bdkq4'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus 3 consonants. Splitting it apart reveals 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://goldjavahugo-pjpb4bdkq4.edgeone.app/24367-adele-arakawa.html

Page Load Overview

12.67s
Total Load Time
21
HTTP Requests
14
Domains
31 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:3,688 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism64% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
64%
entertainment media
63%
adult content
59%
corporate
35%
government public service
29%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.20.23.96United States
AS13335Cloudflare, Inc.
2104.20.8.223United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
2142.251.14.94United States
AS15169Google LLC
2172.240.127.234United States
AS7979Servers.com, Inc.
2104.18.11.207United States
AS13335Cloudflare, Inc.
2142.250.154.95United States
AS15169Google LLC
2188.114.97.3United States
AS13335Cloudflare, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
219--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F4522C27AB45213C9B22529B78C2B2FC7E3A8425D3AF8CA97DECD72847C2BC75475504

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMXhnYf8zX+j3JKJm9yPmt8zYrWag4MDoq2:bQXhnz+jF9yOteYrWag4Aoq2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14082:CADIEBMXxtbNFBYLMpzEOSKUcLKCARg2wBGZAmAANDJDMFDIYgjA0gSwgVCIsBwAKiIhQRmcKZmRkCCmKAytmwksEiQ4SRdA

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:81dfffc3c3c3c3ff
Perceptual Hash:b4cac33863634bcb
Difference Hash:4d3816161616161c
Wavelet Hash:00defec2c2c2c2ef
Color Hash:#bf4053

Other Hashes

Crop Resistant:4d3816161616161c

Scan History

Scan history not available

Unable to load historical scan data