ScanMalware.com

Security Scan Report: you-are-beautiful-z9zun9wkao.edgeone.app

Submitted: Feb 22, 2026, 10:50:26 AMCompleted: Feb 22, 2026, 10:51:45 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 you-are-beautiful-z9zun9wkao.edgeone.app and was registered NaN years ago.

Submitted URL: https://you-are-beautiful-z9zun9wkao.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: 85%

2
Risk Score

Site is unreachable and shows no malicious indicators; low risk but avoid interacting until verified.

Risk Factors
Subdomain on hosting platform (.edgeone.app) with unknown creation date
Low Cisco Umbrella ranking (455,732) indicating limited reputation
Safety Factors
No password, email, or payment fields present
No cross‑origin credential exfiltration observed
No malicious Indicators of Compromise matches
No JavaScript malware patterns detected
Domain age information unavailable

Details

Page Title

you-are-beautiful-z9zun9wkao.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(53%)

Domain Information

The domain 'you-are-beautiful-z9zun9wkao.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'you-are-beautiful-z9zun9wkao'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus three consonants. Tokenizing the label suggests 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://you-are-beautiful-z9zun9wkao.edgeone.app/

Page Load Overview

0.99s
Total Load Time
7
HTTP Requests
3
Domains
63 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:281 chars
Detector Agreement:67%

Website Classification

Primary Category

entertainment media53% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
53%
documentation technical
51%
technology software
34%
cryptocurrency blockchain
27%
finance banking
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
743.152.26.58Singapore
AS139341ACE
71--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16C048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:/fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszU2bMy8Oldi:AhoC9JSqzzbs6o3Sj3gcrsg2eAQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184591:BWCWSAKYDFA2fpZmIUkDMiTpEiWIkFJAKAgoMRKkJiDFjAwgAMGB5DsrIMCAqEATJMAcVOckbBvILAUEMBHkbJwsnQLaxlQI

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:b131cccccc673363
Difference Hash:00180c1400000000
Wavelet Hash:3c1c000c0f0f0f0f
Color Hash:#36931f

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data