Summary
This website contacted 18 IPs in 3 countries across 19 domains to perform 38 HTTP transactions. The main domain is ilovepitayahugo-t6dlntilt2.edgeone.app and was registered NaN years ago.
Submitted URL: https://ilovepitayahugo-t6dlntilt2.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%
Low risk site with no malicious indicators; safe to browse.
Risk Factors
Safety Factors
Details
Page Title
Opinion | Should you get a sleep divorce? Pros and cons of sleeping in separate bedrooms, which can
Scan Type
public
Language
English
Category
entertainment media
(83%)Domain Information
Domain 'ilovepitayahugo-t6dlntilt2.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'ilovepitayahugo-t6dlntilt2'. The core label 'edgeone' covers 7 characters holding 4 vowels versus 3 consonants. Splitting it apart reveals 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 5 | 192.178.183.95 | United States | AS15169Google LLC |
| 3 | 104.26.4.30 | United States | AS13335Cloudflare, Inc. |
| 3 | 23.56.201.50 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 3 | 142.251.110.94 | United States | AS15169Google LLC |
| 3 | 104.20.23.96 | United States | AS13335Cloudflare, Inc. |
| 3 | 172.240.108.68 | United States | AS7979Servers.com, Inc. |
| 3 | 172.67.150.240 | United States | AS13335Cloudflare, Inc. |
| 3 | 146.75.121.242 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 3 | 185.111.111.154 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 3 | 104.20.7.223 | United States | AS13335Cloudflare, Inc. |
| 56 | 18 | - | - |
Detected Technologies5
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Scan History
Scan history not available
Unable to load historical scan data