Summary
API
This website contacted 15 IPs in 2 countries across 1 domain to perform 2 HTTP transactions. The main domain is visitwinchesterva.com and was registered 27 years ago.
Submitted URL: https://visitwinchesterva.com/event/oktoberfest/
AI Security Verdict
Safe Website
Confidence: 96%
Legitimate tourism bureau event page on a 27-year-old domain. No phishing, malware, or credential/payment forms detected; scanner block is ordinary bot protection.
Safety Factors (4)
Details
Page Title
Oktoberfest at Sweet Caroline's - Winchester-Frederick County Convention & Visitors Bureausecondary capture
Scan Type
public
Domain Name Analysis
Within the commercial generic top-level domain (.com), 'visitwinchesterva.com' is registered with no subdomain. Count 17 characters in 'visitwinchesterva' split between 6 vowels and 11 consonants. It segments into 3 words: visit, winchester, va. Median word length is five 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 |
|---|---|---|---|
| 2 | 209.126.30.56 | United States | AS36444Liquid Web, L.L.C |
| 0 | 142.251.20.95Google · CDN | United States | AS15169Google LLC |
| 0 | 104.18.11.79Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 0 | 3.151.86.137Aws · CLOUD | Columbus, Ohio, United States | AS16509Amazon.com, Inc. |
| 0 | 192.178.183.97Google · CDN | United States | AS15169Google LLC |
| 0 | 157.240.0.6Facebook · CDN | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 0 | 172.217.114.4Google · CDN | United States | AS15169Google LLC |
| 0 | 3.12.18.230Aws · CLOUD | Columbus, Ohio, United States | AS16509Amazon.com, Inc. |
| 0 | 142.251.14.94Google · CDN | United States | AS15169Google LLC |
| 0 | 216.239.32.36Google · CDN | United States | AS15169Google LLC |
| 2 | 15 | - | - |
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
Unable to load historical scan data