Security Scan Report: youlovelongkisseshuh-y7c2y16dii.edgeone.app

Submitted: Feb 19, 2026, 4:17:00 AMCompleted: Feb 19, 2026, 4:18:27 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 youlovelongkisseshuh-y7c2y16dii.edgeone.app and was registered NaN years ago.

Submitted URL: https://youlovelongkisseshuh-y7c2y16dii.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 suspicious activity detected; site appears legitimate.

Safety Factors
Established domain age
No credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware detected
No external links
Domain age information unavailable

Details

Page Title

youlovelongkisseshuh-y7c2y16dii.edgeone.app

Scan Type

public

Language

🇻🇳

VI

(36% confidence)

Category

healthcare medical

(70%)

Domain Information

Within the application-focused generic top-level domain (.app), 'youlovelongkisseshuh-y7c2y16dii.edgeone.app' is registered; it also runs on subdomain 'youlovelongkisseshuh-y7c2y16dii'. The second-level label 'edgeone' is 7 characters long split between four vowels and 3 consonants. Splitting it apart reveals 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://youlovelongkisseshuh-y7c2y16dii.edgeone.app/

Page Load Overview

3.44s
Total Load Time
3
HTTP Requests
2
Domains
31 KB
Total Size

Language Analysis

Primary Language

🇻🇳Vietnamese
Code: vi
Confidence:36%
Script:Unknown
Direction:ltr

Detection Details

Language Code:vi
Detection Confidence:36%
Script Type:Unknown
HTML Lang Attribute:en
Text Length:216 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as vi

Website Classification

Primary Category

healthcare medical70% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
70%
adult content
65%
news media journalism
64%
finance banking
46%
government public service
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T182048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:DfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszG2bMy8OldK:choC9JSqzzbs6o3Sj3gcrsC2eAg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184606:wNYBbCkaSOFQPZUEeioOhimGiAgvcaAABS42AAEhHYgiSpUEgQBlEAgCpKEMYgIAIKZt+tIwLoyvA9xQdJCSoXoigLRQDIhS

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:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#62bf40

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data