Summary
This website contacted 8 IPs in 1 country across 2 domains to perform 12 HTTP transactions. The main domain is onthenettoday.beehiiv.com and was registered NaN years ago.
Submitted URL: https://onthenettoday.beehiiv.com/p/google-s-year-in-search-2025
The Cisco Umbrella rank of the primary domain is #22,341 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
No security concerns detected; page appears legitimate.
Safety Factors
Details
Bot Protection Detected
This website is protected by Cloudflare bot protection. Our scanner was challenged or blocked during access.
Page Title
Just a moment...
Scan Type
public
Language
English
Category
technology software
(68%)Domain Information
The domain name 'onthenettoday.beehiiv.com' uses the commercial generic top-level domain (.com), featuring subdomain 'onthenettoday'. The registrable portion 'beehiiv' spans 7 characters holding four vowels versus 3 consonants. Word splitting yields 3 words: bee, hi, iv. Average segment length settles at 2 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 |
|---|---|---|---|
| 5 | 104.18.68.40 | United States | AS13335CLOUDFLARENET |
| 1 | 104.18.94.41 | United States | AS13335CLOUDFLARENET |
| 1 | 104.18.69.40 | United States | AS13335CLOUDFLARENET |
| 1 | 104.18.95.41 | United States | AS13335CLOUDFLARENET |
| 1 | 2606:4700::6812:4528 | United States | AS13335CLOUDFLARENET |
| 1 | 2606:4700::6812:4428 | United States | AS13335CLOUDFLARENET |
| 1 | 2606:4700::6812:5f29 | United States | AS13335CLOUDFLARENET |
| 1 | 2606:4700::6812:5e29 | United States | AS13335CLOUDFLARENET |
| 12 | 8 | - | - |
Detected Technologies3
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
Other Hashes
Scan History
Scan history not available
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