Security Scan Report: concerned-aquamarine-ubr7lpahez-185yi0dbej.edgeone.app

Submitted: Mar 9, 2026, 9:29:44 AMCompleted: Mar 9, 2026, 9:31:02 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is concerned-aquamarine-ubr7lpahez-185yi0dbej.edgeone.app and was registered NaN years ago.

Submitted URL: https://concerned-aquamarine-ubr7lpahez-185yi0dbej.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Today's Labor News – 2026년 3월 4일 (수)

Scan Type

public

Language

🇰🇷

Korean

(80% confidence)

Category

government public service

(64%)

Domain Information

The domain name 'concerned-aquamarine-ubr7lpahez-185yi0dbej.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'concerned-aquamarine-ubr7lpahez-185yi0dbej'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and 3 consonants. Tokenizing the label suggests 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://concerned-aquamarine-ubr7lpahez-185yi0dbej.edgeone.app/

Page Load Overview

0.38s
Total Load Time
2
HTTP Requests
1
Domains
8 KB
Total Size

Language Analysis

Primary Language

🇰🇷Korean
Code: ko
Confidence:80%
Script:Hangul
Direction:ltr

Detection Details

Language Code:ko
Detection Confidence:80%
Script Type:Hangul
HTML Lang Attribute:ko
Text Length:2,622 chars
Detector Agreement:50%

Website Classification

Primary Category

government public service64% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
64%
adult content
56%
documentation technical
55%
corporate business
51%
news media journalism
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FD925121A6E1234E75595890F3B3FE665E8444675B4706F0BE4E6A7AEF8C93206033FC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:TOYMnWhYqddL2YoMzu/AfP3qyYolzZgh/AuvEqnzvq7/A5qlYoisz5t/A9SCqUz2:bdagPb0PqbYIBYSB2BHfY9d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20086:UA4hAQXgJFAYNqAGAAcJkbhDMkIAIIA/AAIShDBAwO82IcAoCEVYEKAJkMzBgpohORHADRQ2kIFYUgIAwEGgGCxBDQQOOoAw

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:c3c3ffffffffffff
Perceptual Hash:b1743430649bcbcf
Difference Hash:9696609418999994
Wavelet Hash:00003c041c1d1d01
Color Hash:#2dd2c5

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data