Summary
API
This website contacted 44 IPs in 2 countries across 19 domains to perform 213 HTTP transactions. The main domain is visitsimivalley.com and was registered 22 years ago.
Submitted URL: https://www.visitsimivalley.com/event/oktoberfest-2025/
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate Simi Valley tourism site hosting an Oktoberfest 2025 event page. 14-year-old self-branded domain, no credential/payment forms, no Indicators of Compromise or malware signals.
Safety Factors (6)
Details
Page Title
Oktoberfest 2025
Scan Type
public
Domain Name Analysis
Within the commercial generic top-level domain (.com), 'www.visitsimivalley.com' is registered, featuring subdomain 'www'. Count 15 characters in 'visitsimivalley' holding six vowels versus 9 consonants. It segments into three words: visit, simi, valley. Median word length comes out to 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 |
|---|---|---|---|
| 41 | 141.193.213.10Cloudflare · CDN | United States | AS209242Cloudflare London, LLC |
| 4 | 142.251.110.95Google · CDN | United States | AS15169Google LLC |
| 4 | 37.19.194.80Datacamp · CDN | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 4 | 157.240.0.6Facebook · CDN | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 4 | 142.251.110.97Google · CDN | United States | AS15169Google LLC |
| 4 | 142.251.110.94Google · CDN | United States | AS15169Google LLC |
| 4 | 142.251.151.119Google · CDN | United States | AS15169Google LLC |
| 4 | 18.221.142.63Aws · CLOUD | Columbus, Ohio, United States | AS16509Amazon.com, Inc. |
| 4 | 157.240.0.35Facebook · CDN | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 4 | 216.239.34.36Google · CDN | United States | AS15169Google LLC |
| 213 | 44 | - | - |
Detected Technologies20
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
Scan History
Scan history not available
Unable to load historical scan data