Security Scan Report: colonialscdhugo-zj5dflfocj.edgeone.app

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Submitted: May 19, 2026, 5:16:15 PMCompleted: May 19, 2026, 5:19:02 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 colonialscdhugo-zj5dflfocj.edgeone.app and was registered NaN years ago.

Submitted URL: https://colonialscdhugo-zj5dflfocj.edgeone.app/11042-how-seoul-based-avant-garde-brand-we11done-carves-its-niche-style-chats-to-co-founder-jessica-jung.html

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

AI Security Verdict

Moderate Risk

Confidence: 66%

5
Risk Score

Moderate risk article about a brand on a newly‑created subdomain; no phishing or malware signs, but low reputation warrants caution.

Risk Factors
Unknown subdomain age
Low domain reputation
Brand name displayed on low‑reputation domain
Safety Factors
Page identified as an article (reporting on brand, not impersonating)
No credential or payment collection forms
No malicious indicators detected in scans
Domain age information unavailable

Details

Page Title

How Seoul-based avant-garde brand We11done carves its niche: Style chats to co-founder Jessica Jung

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(59%)

Domain Information

You're looking at domain 'colonialscdhugo-zj5dflfocj.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'colonialscdhugo-zj5dflfocj'. The core label 'edgeone' covers 7 characters holding four vowels versus three 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://colonialscdhugo-zj5dflfocj.edgeone.app/11042-how-seoul-based-avant-garde-brand-we11done-carves-its-niche-style-chats-to-co-founder-jessica-jung.html

Page Load Overview

30.13s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:8,175 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media59% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
59%
e-commerce shopping
46%
technology software
44%
corporate
35%
documentation technical
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1142.251.14.94United States
AS15169Google LLC
0172.67.150.240United States
AS13335Cloudflare, Inc.
0142.251.110.95United States
AS15169Google LLC
0104.20.8.223United States
AS13335Cloudflare, Inc.
0172.240.127.244United States
AS7979Servers.com, Inc.
043.152.26.58Singapore
0104.20.23.96United States
AS13335Cloudflare, Inc.
17--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19B920823E340323C57230554AAC5B6FD7E288025DB058DE0E596A72AB3C74DF657BB9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:WSahnYf8zX+fXJKJdJ/cX6AtsmGllwOGy1lPHujtyRexsYYrWag4MDw:nahnz+fUJU5tsmGjnjTPHwtl1YrWag4H

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19989:oSAwBvMQAFBIqmMioaAIaAUf1AQIggOASEwwQCKNo+URwlgAAJCIAhHQTJhkAYQgwHUAJNkSVQJh4yimAUEgmlDHRAIYAYgL

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:00000000002000ff
Perceptual Hash:826cbd0a9d1abd2b
Difference Hash:e9c1c1c9c1c1c1c9
Wavelet Hash:183c003c3c3d3dff
Color Hash:#7140bf

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data