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Security Scan Report: todaylabornews20260304-vevt0lr06y.edgeone.app

Submitted: Mar 5, 2026, 9:02:48 PMCompleted: Mar 5, 2026, 9:04:07 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is todaylabornews20260304-vevt0lr06y.edgeone.app and was registered NaN years ago.

Submitted URL: https://todaylabornews20260304-vevt0lr06y.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: 92%

2
Risk Score

Low risk; no phishing, malware, or credential collection detected.

Risk Factors
Subdomain on a hosting platform with unknown creation date (potentially new)
Safety Factors
No credential or payment forms present
No malicious JavaScript or YARA detections
No network IDS alerts
Hosted on a common development platform (edgeone.app)
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

(48%)

Domain Information

You're looking at domain 'todaylabornews20260304-vevt0lr06y.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'todaylabornews20260304-vevt0lr06y'. The registrable portion 'edgeone' spans 7 characters containing four vowels alongside 3 consonants. Splitting it apart reveals two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://todaylabornews20260304-vevt0lr06y.edgeone.app/

Page Load Overview

0.77s
Total Load Time
3
HTTP Requests
2
Domains
54 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:2,538 chars
Detector Agreement:50%

Website Classification

Primary Category

government public service48% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
48%
documentation technical
33%
adult content
32%
news media journalism
30%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
AS139341ACE
31--

Detected Technologies1

Open-Graph-Protocolvwebsite
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17992736266E1234DB1599890F3B2FE665E8444675B0706F0FE4D6A7AEF8C93246033FC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:TOYMnWNm2YoMzu/AfP3qyYolzZgh/AuvEqnzvq7/A5qlYoisz5t/A9SCqUzjwXCW:1gPb0PqbYIBYSB2BHfY9d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20242:iYtj47CwIsAMosDRaFDgFnxEipAhkBAQFHBCTAEBQ4AyAwCoYAQRAIFSTgBawGY2CCQBIgIOhFMQx8phYFSAGXSBp9AAkGXw

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:c3c3c3e7ffffffff
Perceptual Hash:b07431cbdbdb3130
Difference Hash:9e8e8e9e389c9999
Wavelet Hash:020202021d011f1f
Color Hash:#40bf9f

Other Hashes

Crop Resistant:9e8e8e9e389c9999,b9fc9c8cccfcfbca

Scan History

Scan history not available

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