Summary
This website contacted 23 IPs in 2 countries across 11 domains to perform 73 HTTP transactions. The main domain is skylarariasadventures.com and was registered NaN years ago.
Submitted URL: https://skylarariasadventures.com/visit-yorktown-virginia/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate travel blog page with no security concerns.
Safety Factors
Details
Page Title
A visit to Yorktown Virginia - Skylar Aria’s Adventures
Scan Type
public
Language
English
Category
news/blog
(50%)Domain Information
The domain name 'skylarariasadventures.com' uses the commercial generic top-level domain (.com) without a subdomain. The second-level label 'skylarariasadventures' is 21 characters long containing eight vowels alongside 13 consonants. Tokenizing the label suggests three words: skylar, arias, adventures. Median word length comes out to 6 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 |
|---|---|---|---|
| 30 | 192.0.77.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 19 | 162.241.224.113 | Phoenix, Arizona, United States | AS46606UNIFIEDLAYER-AS-1 |
| 7 | 142.250.185.99 | United States | AS15169GOOGLE |
| 6 | 192.0.77.37 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 3 | 142.250.185.74 | United States | AS15169GOOGLE |
| 3 | 142.250.186.131 | United States | AS15169GOOGLE |
| 3 | 142.250.185.202 | United States | AS15169GOOGLE |
| 3 | 216.239.32.36 | United States | AS15169GOOGLE |
| 3 | 2a02:26f0:7100:895::1931 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 2a00:1450:4001:80e::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 73 | 23 | - | - |
Detected Technologies1
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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