Security Scan Report: beautymuseum-zfs3y1ij9v.edgeone.app

Submitted: Feb 20, 2026, 2:22:33 PMCompleted: Feb 20, 2026, 2:23:48 PMpubliccompleted
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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-zfs3y1ij9v.edgeone.app and was registered NaN years ago.

Submitted URL: https://beautymuseum-zfs3y1ij9v.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (>2 years old)
No suspicious forms or data collection
No malicious JavaScript or behavioral signals
Low ranking alone is not a strong indicator without other signs
Domain age information unavailable

Details

Page Title

beautymuseum-zfs3y1ij9v.edgeone.app

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

unknown

(0%)

Domain Information

Domain 'beautymuseum-zfs3y1ij9v.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'beautymuseum-zfs3y1ij9v'. Count 7 characters in 'edgeone' containing 4 vowels alongside three consonants. Breaking it apart gives 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://beautymuseum-zfs3y1ij9v.edgeone.app/

Page Load Overview

2.86s
Total Load Time
54
HTTP Requests
1
Domains
2.6 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

T1E5048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:+fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszg2bMy8Olds:thoC9JSqzzbs6o3Sj3gcrsc2eAS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184566:kQECwSaQgKBCBPiZlFQwZCZ9QgCAAZG6vWIAUGkIodCRWBzipv1CnKKKhR0YAjxgYWEUQtUQaiQghJZJJCEAgAngAQEpIMgM

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:f0d0c0ccf0f0f0f0
Color Hash:#2d59d2

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data