Summary
API
This website contacted 14 IPs in 2 countries across 9 domains to perform 50 HTTP transactions. The main domain is oktober-fest.nyc and was registered 30 years ago.
Submitted URL: https://oktober-fest.nyc/publisher/am-new-york/
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate 11-year-old Oktoberfest NYC site; article archive page mentioning AM New York as press coverage, not impersonation. No forms, no IoCs, no malware — safe.
Safety Factors (5)
Details
Page Title
AM New York - OktoberFest NYC
Scan Type
public
Domain Name Analysis
The domain 'oktober-fest.nyc' uses the .nyc top-level domain without a subdomain. The core label 'oktober-fest' covers 12 characters with four vowels and 7 consonants, plus one hyphen. Splitting it apart reveals 4 words: ok, to, ber, fest. Average segment length settles at 2.5 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 |
|---|---|---|---|
| 11 | 23.235.199.186 | United States | AS54641InMotion Hosting, Inc. |
| 3 | 192.178.183.97Google · CDN | United States | AS15169Google LLC |
| 3 | 142.251.14.157Google · CDN | United States | AS15169Google LLC |
| 3 | 142.251.110.95Google · CDN | United States | AS15169Google LLC |
| 3 | 142.251.20.154Google · CDN | United States | AS15169Google LLC |
| 3 | 192.178.183.94Google · CDN | United States | AS15169Google LLC |
| 3 | 157.240.0.6Facebook · CDN | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 3 | 216.239.32.36Google · CDN | United States | AS15169Google LLC |
| 3 | 157.240.0.35Facebook · CDN | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 3 | 142.250.154.97Google · CDN | United States | AS15169Google LLC |
| 50 | 14 | - | - |
Detected Technologies11
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