Security Scan Report: teespringshophugo-0m17euibfp.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 12 domains to perform 18 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://teespringshophugo-0m17euibfp.edgeone.app/21759-kim-kardashian-kloset.html

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

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The site appears to be an informational article about a celebrity brand, but the unrelated, newly‑created subdomain and low reputation raise moderate risk.

Risk Factors (5)
Unknown subdomain age
Brand‑domain mismatch
Low domain reputation ranking
High JavaScript obfuscation (potentially suspicious code)
Hosting on a generic platform subdomain
Safety Factors (5)
No Indicators of Compromise matched
No JavaScript malware patterns detected
No network IDS alerts
No credential exfiltration or form submissions
Page marked as an article (informational content)
Domain age information unavailable

Details

Page Title

Kim Kardashian Kloset

Scan Type

public

Domain Name Analysis

The domain name 'teespringshophugo-0m17euibfp.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'teespringshophugo-0m17euibfp'. The core label 'edgeone' covers 7 characters with four vowels and 3 consonants. Splitting it apart reveals 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://teespringshophugo-0m17euibfp.edgeone.app/21759-kim-kardashian-kloset.html

Page Load Overview

11.83s
Total Load Time
64 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:413 chars
Detector Agreement:60%

Website Classification

Primary Category

news media journalism47% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
47%
entertainment media
41%
adult content
39%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6172.240.127.234United States
AS7979Servers.com, Inc.
2142.251.110.94United States
AS15169Google LLC
243.152.26.58Singapore
2104.20.7.223United States
AS13335Cloudflare, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2142.251.13.95United States
AS15169Google LLC
2172.67.150.240United States
AS13335Cloudflare, Inc.
187--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CD32C723FAC6103C67324265E4C2B77C796C8816E353CDE499E5B33A87C63EB666250C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Pt6XmMhKMhQUaPb3VomvPYf85ZEQV+o9TZRaMyJKJpJa03v6n28sYYrWag4ofCvV:2GRhnYf8zX+U6JKJpJa0628sYYrWag4N

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11267:Q4gZjYiDZGAHUjQShixRDRgq4A4pNxYjgEfoIIhPBJliyGSAkOa0aDAUgAkRMKBAQ1AICsVIIo4RMopDAgnAhvhopARIAhAw

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:20000000000000ff
Perceptual Hash:c343c3079e1e9e1e
Difference Hash:c0c0f05000000000
Wavelet Hash:ff60ff18000000ff
Color Hash:#d4e06c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data