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Security Scan Report: unconscious-gray-ysjgcucvg6-rd0hm2h7cm.edgeone.app

Submitted: May 4, 2026, 8:59:10 PMCompleted: May 4, 2026, 9:00:30 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is unconscious-gray-ysjgcucvg6-rd0hm2h7cm.edgeone.app and was registered NaN years ago.

Submitted URL: https://unconscious-gray-ysjgcucvg6-rd0hm2h7cm.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: 70%

2
Risk Score

Low risk site; no malicious activity detected, but new subdomain on edgeone.app warrants caution.

Risk Factors
Subdomain on hosting platform with unknown age
Low domain ranking in Cisco Umbrella
Safety Factors
No malicious Indicators of Compromise
No JavaScript malware signatures
No network IDS alerts
No credential exfiltration or form handling
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by security_check bot protection. Our scanner was challenged or blocked during access.

Page Title

Security Check - ยืนยันตัวตน

Scan Type

public

Language

🇹🇭

TH

(80% confidence)

Category

government public service

(33%)

Domain Information

Domain 'unconscious-gray-ysjgcucvg6-rd0hm2h7cm.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'unconscious-gray-ysjgcucvg6-rd0hm2h7cm'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus three consonants. It segments into two 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://unconscious-gray-ysjgcucvg6-rd0hm2h7cm.edgeone.app/

Page Load Overview

0.46s
Total Load Time
3
HTTP Requests
2
Domains
16 KB
Total Size

Language Analysis

Primary Language

🇹🇭Thai
Code: th
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:th
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:th
Text Length:118 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service33% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22.16.238.153Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
143.152.26.58Singapore
AS139341ACE
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CEA1A56770E608207D97B0A92737B389217588437F92E4F07ACC1264DFED7999472EE4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:HQEOBofAn+J0pnDAtYK4Z28q6laqYIN3goWkXS/lTPysCYWc7u:HQEOBofAn+JUnDsYvI8q6AkXSdTHWc7u

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4841:AEAgAHgAgmgAEgAEVDQAAIpICAZFQIwwRDAAARCIEsGAAggRASoEEAAEsgmcokISAgAACgxmAIAAQBAyCABQACAALKBoAAIQ

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:ffffffffe7e7ffff
Perceptual Hash:e68c993366cc3333
Difference Hash:000008284d4c3008
Wavelet Hash:33331b03031b3f3f
Color Hash:#87c5b8

Other Hashes

Crop Resistant:000008284d4c3008

Scan History

Scan history not available

Unable to load historical scan data