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Security Scan Report: www.vaneck.com

Redirected to:
https://www.vaneck.com/us/en/investments/semiconductor-etf-smh/overvie...
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Submitted: Jul 20, 2026, 2:40:09 PMCompleted: Jul 20, 2026, 2:41:49 PMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 4 domains to perform 2 HTTP transactions. The main domain is vaneck.com and was registered NaN years ago.

Submitted URL: https://www.vaneck.com/us/en/investments/semiconductor-etf-smh/

Effective URL: https://www.vaneck.com/us/en/investments/semiconductor-etf-smh/overview/Redirected

The Cisco Umbrella rank of the primary domain is #454,169 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The site shows its own brand, is well‑established, and lacks any phishing or malware signals.

Safety Factors
Established domain with reputable brand
No malicious network or code indicators
Only informational/email subscription forms
Domain age information unavailable

Details

Page Title

SMH - VanEck Semiconductor ETF (US) | Holdings & Performance | VanEck

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce

(40%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.vaneck.com' is registered, featuring subdomain 'www'. The core label 'vaneck' covers 6 characters with two vowels and 4 consonants. It segments into two words: va, neck. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.vaneck.com/us/en/investments/semiconductor-etf-smh/

Page Load Overview

5.45s
Total Load Time
81
HTTP Requests
12
Domains
267 KB
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:25,903 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce40% confidence
Type: webapp
Method: structural

All Detected Categories

e-commerce
40%

Detected Features

Search
Products
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2134.149.254.14Google · CDNKansas City, Missouri, United States
AS396982Google LLC
20104.18.30.142Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
20104.18.36.168Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
20104.16.80.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
814--

Detected Technologies6

Google-AnalyticsvUniversal
100%
Episerver/Optimizely CMSvCMS 12+ (.NET Core)
55%
Cloudflare Bot Management
40%
Cloudflare
40%
reCAPTCHA
30%
Google Tag Manager
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T114B4FA60F158293FA11B8BC8F3753B21A0A797A7FA991084F5EEC3759BC6CD0B51A11C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:1EUDAfNEKEI8ZH6MnQzUw4wz/ImIFIuE9NIjK:1EUDAfNEKEI8ZH6MnQzUw4wzw7+z92O

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500094:1IYUqA0Cti6RWUmQVUOgqAEVA4ggRRgUpgqJLCAJYA4CYEiAaAkVEgECMsABhHTwSJAQMZAwIawECxBPFG5FAbkQKImGQlED

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:ff000000ffffffff
Perceptual Hash:8e429abfca4a9d91
Difference Hash:6984a6a5736073e4
Wavelet Hash:ff00000000ffffff
Color Hash:#79d2bb

Other Hashes

Crop Resistant:6984a6a5736073e4,9586c6b292aee6d1

Scan History

Scan history not available

Unable to load historical scan data