Security Scan Report: valentinekv-lij7fuuf4g.edgeone.app

Submitted: Mar 10, 2026, 11:17:20 PMCompleted: Mar 10, 2026, 11:18:38 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is valentinekv-lij7fuuf4g.edgeone.app and was registered NaN years ago.

Submitted URL: https://valentinekv-lij7fuuf4g.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: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by rate_limit bot protection. Our scanner was challenged or blocked during access.

Page Title

Valentine Day πŸ’–

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

adult content

(60%)

Domain Information

Within the application-focused generic top-level domain (.app), 'valentinekv-lij7fuuf4g.edgeone.app' is registered and includes subdomain 'valentinekv-lij7fuuf4g'. Count 7 characters in 'edgeone' containing 4 vowels alongside 3 consonants. Word splitting yields 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://valentinekv-lij7fuuf4g.edgeone.app/

Page Load Overview

1.10s
Total Load Time
4
HTTP Requests
1
Domains
7.6 MB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
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:182 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content60% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
60%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
443.152.26.58Singapore
41--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T197E184A371032D3050AF8BA736A58B9138348705BA171B9076FF9525F2D5C21A73BBF9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:IoeSNqyRJk5Z5YdUEIttfdzELIyT/qbudyvy3xyFy6gg0xSR0O:IoeuRJk5Z5YdUEIttfdoLIyT/qbudyvh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7074:bOWVQZAPDBCk4AQJJkE8UFgIIIcgBaodAeAABFQRhGhNA0AsgBABbAIREEACuQBmRhmAEQCCgNTKMwMgFzgASEAJEg2icCC4

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:0000191d1f1f0f07
Perceptual Hash:885933767349cc5e
Difference Hash:fff3b3b3b3b3fbff
Wavelet Hash:01031b1f1f1f1f1f
Color Hash:#798ed2

Other Hashes

Crop Resistant:fff3b3b3b3b3fbff

Scan History

Scan history not available

Unable to load historical scan data