Summary
This website contacted 8 IPs in 2 countries across 8 domains to perform 15 HTTP transactions. The main domain is ilovepitayahugo-ovmv3xiv1c.edgeone.app and was registered NaN years ago.
Submitted URL: https://ilovepitayahugo-ovmv3xiv1c.edgeone.app/10168-opinion-should-you-get-a-sleep-divorce-pros-and-cons-of-sleeping-in-separate-bedrooms-which-can.html
The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites
AI Security Verdict
Moderate Risk
Confidence: 75%
Moderate risk due to unknown subdomain age and heavily obfuscated JavaScript, but no malicious activity observed.
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
technology software
(77%)Domain Information
Within the application-focused generic top-level domain (.app), 'ilovepitayahugo-ovmv3xiv1c.edgeone.app' is registered and includes subdomain 'ilovepitayahugo-ovmv3xiv1c'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside 3 consonants. It segments into 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 |
|---|---|---|---|
| 1 | 142.251.14.94 | United States | AS15169Google LLC |
| 0 | 104.20.8.223 | United States | AS13335Cloudflare, Inc. |
| 0 | 188.114.97.3 | United States | AS13335Cloudflare, Inc. |
| 0 | 104.21.0.120 | United States | AS13335Cloudflare, Inc. |
| 0 | 172.240.108.76 | United States | AS7979Servers.com, Inc. |
| 0 | 101.33.10.10 | Frankfurt am Main, Hesse, Germany | AS139341ACE |
| 0 | 172.66.169.241 | United States | AS13335Cloudflare, Inc. |
| 0 | 142.251.110.95 | United States | AS15169Google LLC |
| 1 | 8 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data