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Security Scan Report: central-coffee-h9cwxdwlws-aj7s8ngsuk.edgeone.app

Submitted: Apr 17, 2026, 1:54:46 PMCompleted: Apr 17, 2026, 1:56:03 PMpubliccompleted
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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 central-coffee-h9cwxdwlws-aj7s8ngsuk.edgeone.app and was registered NaN years ago.

Submitted URL: https://central-coffee-h9cwxdwlws-aj7s8ngsuk.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 no malicious activity, forms, or brand impersonation; only low‑ranking subdomain creates minimal risk.

Risk Factors
Low domain ranking in Cisco Umbrella
Subdomain on a hosting platform with unknown age
Safety Factors
Absence of login, payment, or credential‑harvesting forms
No malicious JavaScript or IDS alerts
Content classified as technical documentation
Domain age information unavailable

Details

Page Title

시스템_로그_및_운영_지침_검토

Scan Type

public

Language

🇰🇷

Korean

(80% confidence)

Category

documentation technical

(99%)

Domain Information

You're looking at domain 'central-coffee-h9cwxdwlws-aj7s8ngsuk.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'central-coffee-h9cwxdwlws-aj7s8ngsuk'. The core label 'edgeone' covers 7 characters containing four vowels alongside three consonants. Splitting it apart reveals 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://central-coffee-h9cwxdwlws-aj7s8ngsuk.edgeone.app/

Page Load Overview

0.39s
Total Load Time
2
HTTP Requests
1
Domains
4 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:193 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical99% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
99%
government public service
56%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FE32E86732E7016944A3E4E535D3DB6B3121D203FA0789A0BD7C8690CF8DD83959B7AD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:N2h4pPraHF8X1IH2RhxreSPfZFJx7JTxc3GGpB0Lx7VW+/8gxOLldf4IMuLcJMfW:NndTCpTo7VW+/txEdb3cMf9DquHbpeJX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11933:AxXCAARCBh4AQQOhSApEAhKfAhJAPHBAhgIoIQIIJ8EaJIAgeKgMMxBMIhkkWm+DHOHAJUHASgerxCEKhEwsAYgGUosWiAak

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:b830303839dbcbcf
Difference Hash:1606000000000000
Wavelet Hash:03031b1b1b033f3f
Color Hash:#2dd251

Other Hashes

Crop Resistant:1606000000000000

Scan History

Scan history not available

Unable to load historical scan data