Security Scan Report: sg-member-uat-0k6feq2wom.edgeone.app

Redirected to: https://sg-member-uat-0k6feq2wom.edgeone.app/introduction

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Submitted: Jan 12, 2026, 3:36:03 PMCompleted: Jan 12, 2026, 3:38:45 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 25 HTTP transactions. The main domain is sg-member-uat-0k6feq2wom.edgeone.app and was registered NaN years ago.

Submitted URL: https://sg-member-uat-0k6feq2wom.edgeone.app/

Effective URL: https://sg-member-uat-0k6feq2wom.edgeone.app/introductionRedirected

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

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Site impersonates YISHION on a low‑ranked domain; likely phishing – avoid.

Risk Factors
Brand impersonation on unrelated domain
Low domain ranking for claimed brand
Domain age information unavailable

Details

Page Title

以纯会员

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'sg-member-uat-0k6feq2wom.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'sg-member-uat-0k6feq2wom'. The core label 'edgeone' covers 7 characters with 4 vowels and 3 consonants. Word splitting yields 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://sg-member-uat-0k6feq2wom.edgeone.app/

Page Load Overview

58.38s
Total Load Time
16
HTTP Requests
3
Domains
655 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:334 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
643.152.26.58Singapore
543.158.119.149Germany
543.152.26.110GermanyUnknown
163--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13463AEF428029C17C9D7C682A1536A9FED64E70BCA1DC50665FBB3184FE6D70FC928A4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:xTTfORG3GuygZabxpTa3gcBDdZguX+a5HHGwiFiBmKWrz:5fO82ZbDa3tsuX+a5HHG7VKWH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:68437:DETTcZmemCgwJsqUFETQB0AlIQgjiFIkyApjAFGBokdWEAAhxAY4IDAQ1KEMNlCKlKEORABIgBiI5PM6hyEJYEiMKQqItGeY

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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