Summary
This website contacted 123 IPs in 2 countries across 39 domains to perform 197 HTTP transactions. The main domain is vans.com and was registered NaN years ago.
Submitted URL: https://www.vans.com/en-us/news/united-through-skateboarding
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate Vans news page with no security concerns.
Safety Factors
Details
Bot Protection Detected
This website is protected by forbidden bot protection. Our scanner was challenged or blocked during access.
Page Title
Vans x Atiba Jefferson | United Through Skateboarding | Vans US
Scan Type
public
Language
English
Category
corporate
(50%)Domain Information
You're looking at domain 'www.vans.com' on the commercial generic top-level domain (.com) with subdomain 'www'. Count 4 characters in 'vans' containing 1 vowel alongside three consonants. Segmentation suggests one word: vans. Most frequently, 'vans' shows up in German. You may catch it in English and French as well.
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 |
|---|---|---|---|
| 75 | 34.196.1.234 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 54.91.244.149 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 3.161.82.28 | United States | AS16509AMAZON-02 |
| 1 | 69.192.160.133 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 34.49.37.224 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 108.138.2.85 | United States | AS16509AMAZON-02 |
| 1 | 44.224.104.99 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 34.192.191.43 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 13.226.244.104 | United States | AS16509AMAZON-02 |
| 1 | 104.102.34.162 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 197 | 123 | - | - |
Detected Technologies15
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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