Summary
This website contacted 188 IPs in 7 countries across 47 domains to perform 134 HTTP transactions. The main domain is nationalparks.org and was registered NaN years ago.
Submitted URL: https://www.nationalparks.org/explore/parks/yellowstone-national-park
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Yellowstone National Park | National Park Foundation
Scan Type
public
Language
English
Category
corporate
(35%)Domain Information
Domain 'www.nationalparks.org' uses the non-profit oriented generic top-level domain (.org) and includes subdomain 'www'. The second-level label 'nationalparks' is 13 characters long containing 5 vowels alongside eight consonants. Word splitting yields two words: national, parks. The median word length lands at 6.5 characters. 'national' most often appears in English. You will also see it in Chinese (Pinyin) and Breton 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 |
|---|---|---|---|
| 134 | 184.24.77.141 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 20 | 104.26.3.220 | United States | AS13335CLOUDFLARENET |
| 7 | 23.50.131.138 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 7 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 7 | 146.75.122.208 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 5 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 5 | 35.190.43.134 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 5 | 142.250.184.232 | United States | AS15169GOOGLE |
| 5 | 147.182.190.80 | North Bergen, New Jersey, United States | AS14061DIGITALOCEAN-ASN |
| 5 | 216.239.34.36 | United States | AS15169GOOGLE |
| 134 | 188 | - | - |
Detected Technologies24
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
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