Summary
This website contacted 611 IPs in 14 countries across 313 domains to perform 2169 HTTP transactions. The main domain is smithsonianmag.com and was registered NaN years ago.
Submitted URL: https://www.smithsonianmag.com/science-nature/how-david-attenborough-went-from-delighting-at-the-natural-world-to-pleading-for-its-future-180984075/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate article site with no security threats.
Safety Factors
Details
Page Title
How David Attenborough Went From Delighting at the Natural World to Pleading for Its Future
Scan Type
public
Language
English
Category
news/blog
(35%)Domain Information
The domain 'www.smithsonianmag.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The registrable portion 'smithsonianmag' spans 14 characters split between five vowels and 9 consonants. It segments into 2 words: smithsonian, mag. The median word length lands at 7 characters. 'smithsonian' most strongly signals Dutch. It also appears in German and Danish contexts. Overall, 'www.smithsonianmag.com' reads as Dutch.
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 |
|---|---|---|---|
| 339 | 37.157.6.254 | Denmark | AS198622Adform A/S |
| 133 | 172.217.18.2 | United States | AS15169GOOGLE |
| 101 | 142.250.186.130 | United States | AS15169GOOGLE |
| 79 | 142.250.185.162 | United States | AS15169GOOGLE |
| 64 | 104.26.10.209 | United States | AS13335CLOUDFLARENET |
| 59 | 104.18.34.222 | United States | AS13335CLOUDFLARENET |
| 48 | 34.247.23.233 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 31 | 142.250.186.66 | United States | AS15169GOOGLE |
| 30 | 35.212.104.44 | Washington, District of Columbia, United States | AS15169GOOGLE |
| 30 | 34.98.64.218 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2169 | 611 | - | - |
Detected Technologies6
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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