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Security Scan Report: lovely-rose-vt9b72fb4d-23wdvapbno.edgeone.app

Submitted: Feb 26, 2026, 11:48:19 AMCompleted: Feb 26, 2026, 11:49:34 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is lovely-rose-vt9b72fb4d-23wdvapbno.edgeone.app and was registered NaN years ago.

Submitted URL: https://lovely-rose-vt9b72fb4d-23wdvapbno.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: 72%

3
Risk Score

Site shows no malicious content but is a newly created subdomain on a hosting platform, warranting moderate caution.

Risk Factors
Subdomain on hosting platform (.edgeone.app) with unknown age
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

healthcare medical

(37%)

Domain Information

The domain name 'lovely-rose-vt9b72fb4d-23wdvapbno.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'lovely-rose-vt9b72fb4d-23wdvapbno'. The second-level label 'edgeone' is 7 characters long split between four vowels and three consonants. Word splitting yields 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://lovely-rose-vt9b72fb4d-23wdvapbno.edgeone.app/

Page Load Overview

0.68s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:60 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

healthcare medical37% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
37%
news media journalism
35%
documentation technical
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14002B6CAEBA305C9A82BC0682FFF5724222DE057C448CD5DB99E1F548F0518875FB2B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB2h1RaXQl:KrzhNK/lMHmGgdkqJd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8717:IAUC13AKFQMwtF0cgW+ChAAiSAmEDQQAMFiJiAACiDKaAIEKAsR0w0qACY8CANaAgTi8VQAmTEBaRApBIiIGSCqTOCbXAAEF

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:dcfcfce0e0e0c0c0
Perceptual Hash:da9a983c6c6563c3
Difference Hash:3030500000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#c5879e

Other Hashes

Crop Resistant:3030500000000000

Scan History

Scan history not available

Unable to load historical scan data