Security Scan Report: beautymuseum-g6rtkbfugh.edgeone.app

Submitted: Feb 21, 2026, 8:18:14 AMCompleted: Feb 21, 2026, 8:19:28 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is beautymuseum-g6rtkbfugh.edgeone.app and was registered NaN years ago.

Submitted URL: https://beautymuseum-g6rtkbfugh.edgeone.app/

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

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

beautymuseum-g6rtkbfugh.edgeone.app

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

unknown

(0%)

Domain Information

Domain 'beautymuseum-g6rtkbfugh.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'beautymuseum-g6rtkbfugh'. The core label 'edgeone' covers 7 characters split between four vowels and three consonants. It segments into two 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://beautymuseum-g6rtkbfugh.edgeone.app/

Page Load Overview

1.76s
Total Load Time
54
HTTP Requests
1
Domains
3.4 MB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:60%
Script:Han
Direction:ltr

Detection Details

Language Code:zh
Detection Confidence:60%
Script Type:Han
HTML Lang Attribute:zxx
Text Length:1,738 chars
Detector Agreement:50%
Language mismatch: Declared as zxx but detected as zh

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5443.152.26.58Singapore
541--

Detected Technologies3

JQueryv3.7.1
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FC048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:CfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz62bMy8OldI:5hoC9JSqzzbs6o3Sj3gcrsG2eAu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184566:gIhCA0hgZIdmxKhJDKBOEE4qrABAjJWHIeAggQDwYSiFmAQLIyJEAARAdISAcSdK4emQShBOXCw5hcQQwMAKjYBRhRhInWCc

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc676323
Difference Hash:00180c1400000000
Wavelet Hash:3f1f030f00000000
Color Hash:#2dd23d

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data