Summary
This website contacted 111 IPs in 5 countries across 32 domains to perform 179 HTTP transactions. The main domain is beonair.com and was registered NaN years ago.
Submitted URL: https://beonair.com/blog/top-radio-presenters/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
10 Most Famous Radio Hosts & Personalities | Be On Air
Scan Type
public
Language
English
Category
other
(45%)Domain Information
Within the commercial generic top-level domain (.com), 'beonair.com' is registered with no subdomain. The core label 'beonair' covers 7 characters holding 4 vowels versus 3 consonants. Word splitting yields three words: be, on, air. Median word length comes out to 2 characters. Most frequently, 'be' shows up in Estonian. Usage also turns up in Finnish and Chinese (Pinyin) contexts.
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 |
|---|---|---|---|
| 69 | 23.36.162.142 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 21 | 172.67.162.253 | United States | AS13335CLOUDFLARENET |
| 20 | 146.75.121.140 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 15 | 23.36.162.25 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 14 | 172.64.147.188 | United States | AS13335CLOUDFLARENET |
| 10 | 104.20.17.167 | United States | AS13335CLOUDFLARENET |
| 8 | 142.250.186.35 | United States | AS15169GOOGLE |
| 7 | 216.239.32.36 | United States | AS15169GOOGLE |
| 7 | 146.75.122.114 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 6 | 34.107.218.251 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 179 | 111 | - | - |
Detected Technologies9
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
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