Summary
This website contacted 18 IPs in 2 countries across 17 domains to perform 2 HTTP transactions. The main domain is billionaires.africa and was registered 14 years ago.
Submitted URL: https://www.billionaires.africa/2026/06/11/byron-allens-cbs-show-drew-628-000-viewers-after-colbert-averaged-2-69-million-and-he-says-cbs-still-won/
AI Security Verdict
Safe Website
Confidence: 85%
The page is a legitimate news article with no malicious indicators.
Safety Factors
Details
Page Title
Byron Allen CBS late night ratings revealed after Colbert exit
Scan Type
public
Language
English
Category
adult content
(62%)Domain Information
You're looking at domain 'www.billionaires.africa' on the .africa top-level domain and includes subdomain 'www'. Its registrable label 'billionaires' stretches across 12 characters split between 6 vowels and 6 consonants. It segments into one word: billionaires. 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 |
|---|---|---|---|
| 12 | 104.18.140.15Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 104.17.24.14Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 146.75.123.7Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 2 | 104.17.208.5Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 192.178.183.97Google · CDN | United States | AS15169Google LLC |
| 2 | 146.75.120.176Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 2 | 142.251.14.132Google · CDN | United States | AS15169Google LLC |
| 2 | 142.251.127.157Google · CDN | United States | AS15169Google LLC |
| 2 | 104.18.33.247Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 216.239.32.36Google · CDN | United States | AS15169Google LLC |
| 46 | 18 | - | - |
Page Statistics
Detected Technologies9
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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