Summary
This website contacted 208 IPs in 9 countries across 78 domains to perform 437 HTTP transactions. The main domain is travelwyoming.com.
Submitted URL: https://travelwyoming.com/
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate tourism site with no security concerns.
Safety Factors
Details
Page Title
Visit Wyoming and Enjoy Your Wyoming Vacation
Scan Type
public
Language
English
Category
travel tourism
(38%)Domain Information
You're looking at domain 'travelwyoming.com' on the commercial generic top-level domain (.com) without a subdomain. Its registrable label 'travelwyoming' stretches across 13 characters containing four vowels alongside 9 consonants. Tokenizing the label suggests two words: travel, wyoming. Median word length is 6.5 characters. 'travel' most often appears in English. You may catch it in Chinese (Pinyin) and Norwegian as well.
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 |
|---|---|---|---|
| 194 | 23.43.51.46 | El Segundo, California, United States | AS20940Akamai International B.V. |
| 22 | 172.66.136.7 | United States | AS13335CLOUDFLARENET |
| 16 | 216.239.34.36 | United States | AS15169GOOGLE |
| 11 | 104.18.29.155 | United States | AS13335CLOUDFLARENET |
| 11 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 9 | 142.250.184.232 | United States | AS15169GOOGLE |
| 7 | 216.58.206.42 | United States | AS15169GOOGLE |
| 7 | 23.36.162.133 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 7 | 104.18.1.22 | United States | AS13335CLOUDFLARENET |
| 6 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 437 | 208 | - | - |
Detected Technologies4
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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