Summary
This website contacted 32 IPs in 2 countries across 25 domains to perform 131 HTTP transactions. The main domain is virginiascenicrailway.com and was registered NaN years ago.
Submitted URL: https://www.virginiascenicrailway.com/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no detectable security threats.
Safety Factors
Details
Page Title
Virginia Scenic Railway
Scan Type
public
Language
English
Category
adult content
(79%)Domain Information
Within the commercial generic top-level domain (.com), 'www.virginiascenicrailway.com' is registered with subdomain 'www'. The second-level label 'virginiascenicrailway' is 21 characters long containing nine vowels alongside 12 consonants. Tokenizing the label suggests 3 words: virginia, scenic, railway. Expect seven characters per word on average. 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 |
|---|---|---|---|
| 7 | 16.15.195.255 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 216.58.209.164 | United States | AS15169GOOGLE |
| 4 | 3.5.8.193 | United States | AS14618AMAZON-AES |
| 4 | 192.0.66.151 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 4 | 199.232.173.55 | Stockholm, Stockholm County, Sweden | AS54113FASTLY |
| 4 | 3.164.206.75 | United States | AS16509AMAZON-02 |
| 4 | 216.239.32.36 | United States | AS15169GOOGLE |
| 4 | 3.229.191.4 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 34.120.195.249 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 4 | 172.67.165.134 | United States | AS13335CLOUDFLARENET |
| 131 | 32 | - | - |
Detected Technologies5
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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