Summary
This website contacted 8 IPs in 2 countries across 8 domains to perform 14 HTTP transactions. The main domain is ilovepitayahugo-ovmv3xiv1c.edgeone.app and was registered NaN years ago.
Submitted URL: https://ilovepitayahugo-ovmv3xiv1c.edgeone.app/1578-jimmy-kimmel-was-told-not-to-read-trumps-mean-tweet-at-2024-oscars.html
The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 78%
The site appears to be a low‑risk article page with no malicious forms or indicators, though the subdomain is newly created and has low reputation.
Risk Factors
Safety Factors
Details
Page Title
Jimmy Kimmel Was Told Not to Read Trump's Mean Tweet at 2024 Oscars
Scan Type
public
Language
English
Category
social media network
(38%)Domain Information
The domain 'ilovepitayahugo-ovmv3xiv1c.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'ilovepitayahugo-ovmv3xiv1c'. The core label 'edgeone' covers 7 characters with 4 vowels and three consonants. Word splitting yields two words: edge, one. Median word length is 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 |
|---|---|---|---|
| 6 | 172.66.169.241 | United States | AS13335Cloudflare, Inc. |
| 2 | 172.240.108.84 | United States | AS7979Servers.com, Inc. |
| 2 | 142.251.13.94 | United States | AS15169Google LLC |
| 2 | 104.20.8.223 | United States | AS13335Cloudflare, Inc. |
| 2 | 172.67.150.240 | United States | AS13335Cloudflare, Inc. |
| 2 | 172.240.253.132 | United States | AS7979Servers.com, Inc. |
| 2 | 43.152.26.58 | Singapore | AS139341ACE |
| 2 | 142.250.154.95 | United States | AS15169Google LLC |
| 20 | 8 | - | - |
Detected Technologies3
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