Summary
This website contacted 7 IPs in 2 countries across 8 domains to perform 13 HTTP transactions. The main domain is konacoffeelandhugo-dipone9vz8.edgeone.app and was registered NaN years ago.
Submitted URL: https://konacoffeelandhugo-dipone9vz8.edgeone.app/219-people-joy-behar-cant-stand-zedblog.html
The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 75%
Low risk site; no malicious indicators or credential collection, unknown subdomain age, high JS obfuscation but no malware detected.
Risk Factors
Safety Factors
Details
Page Title
People Joy Behar Can't Stand - ZedBlog
Scan Type
public
Language
English
Category
entertainment media
(59%)Domain Information
You're looking at domain 'konacoffeelandhugo-dipone9vz8.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'konacoffeelandhugo-dipone9vz8'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside three consonants. It segments into 2 words: edge, one. Median word length comes out to 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 |
|---|---|---|---|
| 8 | 104.20.23.96 | United States | AS13335Cloudflare, Inc. |
| 2 | 142.251.20.95 | United States | AS15169Google LLC |
| 2 | 172.240.127.234 | United States | AS7979Servers.com, Inc. |
| 2 | 172.67.150.240 | United States | AS13335Cloudflare, Inc. |
| 2 | 104.20.7.223 | United States | AS13335Cloudflare, Inc. |
| 2 | 101.33.10.57 | Frankfurt am Main, Hesse, Germany | AS139341ACE |
| 2 | 142.250.154.94 | United States | AS15169Google LLC |
| 20 | 7 | - | - |
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
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