Security Scan Report: www.vans.com

Submitted: Oct 28, 2025, 11:06:07 PMCompleted: Oct 28, 2025, 11:07:26 PMpubliccompleted
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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%

0
Risk Score

Legitimate Vans news page with no security concerns.

Safety Factors
Well‑established domain (over 10,000 days old)
Official brand domain with verified branding
No forms collecting sensitive data
No known malicious Indicators of Compromise
No suspicious redirects or URL manipulation
Domain age information unavailable

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

(80% confidence)

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

Security scan screenshot of https://www.vans.com/en-us/news/united-through-skateboarding

Page Load Overview

13.79s
Total Load Time
197
HTTP Requests
39
Domains
5.1 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-us
Text Length:4,345 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: spa
Method: structural

All Detected Categories

corporate
50%
news/blog
40%
news
30%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7534.196.1.234Ashburn, Virginia, United States
AS14618AMAZON-AES
154.91.244.149Ashburn, Virginia, United States
AS14618AMAZON-AES
13.161.82.28United States
AS16509AMAZON-02
169.192.160.133Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
134.49.37.224Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
1108.138.2.85United States
AS16509AMAZON-02
144.224.104.99Boardman, Oregon, United States
AS16509AMAZON-02
134.192.191.43Ashburn, Virginia, United States
AS14618AMAZON-AES
113.226.244.104United States
AS16509AMAZON-02
1104.102.34.162Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
197123--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14B845C939A1954FB2D13A2F469F7D384E0EA614DD38F4D823E5CCA3852D9DEC221721E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:Ft9+vFN5Ciqqeq9gpBN5CmqEQqgHq79qsNvBN5CYqlmqgrmLFkmtzVDKfro6pC0i:qdtlKfckrGR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:404639:iFVSQCYIwBgERASjQIrCTSVJFgH8hEYCwBNIHiBwSFyQrrE2oQEICIKsDdmIFKfUisAISmJQABWqoEEMIaAxCAAAQIsEhZIL

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

Average Hash:00c3ffffffe3c3cf
Perceptual Hash:cc1b3266d9476719
Difference Hash:a896aab2b246849a
Wavelet Hash:0000dcf8dbc3c3c3
Color Hash:#4062bf

Scan History

Scan history not available

Unable to load historical scan data