Security Scan Report: somin-s241u9uznk.edgeone.app

Submitted: Apr 22, 2026, 2:19:39 PMCompleted: Apr 22, 2026, 2:20:48 PMpubliccompleted
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Summary

This website contacted 5 IPs in 4 countries across 5 domains to perform 19 HTTP transactions. The main domain is somin-s241u9uznk.edgeone.app and was registered NaN years ago.

Submitted URL: https://somin-s241u9uznk.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site shows low risk: no malicious indicators, no forms, and only an unknown‑age subdomain on a hosting platform.

Risk Factors
Subdomain age unknown (could be newly created)
Low Cisco Umbrella ranking (455,732) for a domain claiming an academic portfolio
Safety Factors
No credential or payment collection forms
No malicious IoC or YARA matches
No network IDS alerts
Content classified as education learning with high confidence
Domain age information unavailable

Details

Page Title

Somin Lee — Academic Portfolio

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(96%)

Domain Information

The domain name 'somin-s241u9uznk.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'somin-s241u9uznk'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and 3 consonants. Tokenizing the label suggests 2 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://somin-s241u9uznk.edgeone.app/

Page Load Overview

0.96s
Total Load Time
17
HTTP Requests
5
Domains
461 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
Text Length:11,145 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning96% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
96%
government public service
81%
adult content
65%
documentation technical
59%
corporate business
57%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
543.152.26.58Singapore
363.176.8.218Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
365.21.71.180Helsinki, Uusimaa, Finland
AS24940Hetzner Online GmbH
3142.251.127.95United States
AS15169Google LLC
3142.251.14.94United States
AS15169Google LLC
175--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T121C38E7251B264360A3B5CD2798A2B1E2CA0D42BD85B4540F6DD8B940FDBDE2FF12E4D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:qIk9friDE4j/mEI/HZUrurYvRd3JTaUGBGJ6xwZ1ssMUeLukkfw5Zl1pZjXIIyBR:qPd0vr3/TqLxzkfEVzLLC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:121063:GaIAAhwWOFsQiQkyRIxE8gKyAAARqBCEFJWAAJxoBAhTQOIFoUQFdCDC0QhBAaMg4sA4UIAKyjBOAIQQcHR0MgIS5IoQxOYM

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:f2fbd3d3d3f3f3f3
Perceptual Hash:ec649b93766464c3
Difference Hash:a243a7a7a7072323
Wavelet Hash:70f1d1d1c1c1f1f1
Color Hash:#8d6ce0

Other Hashes

Crop Resistant:a243a7a7a7072323

Scan History

Scan history not available

Unable to load historical scan data