Security Scan Report: ledlampenkopen.nu

Redirected to:
https://www.ledlampenkopen.nu/
Site favicon
Submitted: Oct 2, 2026, 9:50:06 AMCompleted: Oct 2, 2026, 9:51:20 AMpubliccompleted

This website contacted 43 IPs in 4 countries across 37 domains to perform 180 HTTP transactions. The main domain is ledlampenkopen.nu and was registered 9 years ago.

Submitted URL: https://ledlampenkopen.nu

Effective URL:

https://www.ledlampenkopen.nu/
Redirected

AI Security Verdict

Safe Website

Confidence: 82%

1
Risk Score

Long-established Dutch LED lighting webshop on its own 9.5-year-old domain, self-branded with no credential/payment forms, no brand impersonation and no threat-intel, YARA or phishing alerts. Normal e-commerce site.

Safety Factors (5)
Established domain (3468 days, ~9.5 years old)
SELF-BRANDING: title and meta tags match the site's own domain — no impersonation of another brand
No credential or payment fields present; no cross-origin credential submission and no credential exfiltration detected
All transactional form actions are same-origin (www.ledlampenkopen.nu)
No malware, phishing IoC, YARA or IDS phishing/malware alerts
Domain age information unavailable

Details

Page Title

LED lampen & LED verlichting koop je bij LEDlampenkopen.nu!

Scan Type

public

Domain Name Analysis

The domain 'ledlampenkopen.nu' uses the .nu country-code top-level domain with no subdomain. The second-level label 'ledlampenkopen' is 14 characters long holding five vowels versus nine consonants. Segmentation suggests five words: led, lamp, en, k, open. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ledlampenkopen.nu

Page Load Overview

2.14s
Total Load Time
2.6 MB
Total Size

Language Analysis

Primary Language

🇳🇱Dutch
Code: nl
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:nl
Text Length:20,970 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping43% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
43%
documentation technical
43%
technology software
37%
corporate
35%
blog personal website
34%

Detected Features

Search
Products
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12104.21.2.17Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.18.95.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4172.67.128.148Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4143.204.181.128Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
446.224.138.245Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
499.84.152.23Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
43.174.45.183Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4151.101.129.229Fastly · CDNUnited States
AS54113Fastly, Inc.
4192.178.183.97Google · CDNUnited States
AS15169Google LLC
18043--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12BD2D973E714211B39138E9F7AD0FA442135E281AD15A3B9FA7274B447C959237B33C2

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:GmYTSWdSZBTx3T/VcxkO2IknB7xIEw+uEHhKbU6:Rhc4xIZHo6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:28500:pE4NDEAAL5HDQhGZpBG0WMDChAHEBskQQSIRSIEFJBdqExAJKSKhFVBE8wdDJgCjWxBJuJa2T0iJDhHIgEgylYSiEFkCaLPI

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:cfc3c3ffffffffe7
Perceptual Hash:b13930cec6cec6cc
Difference Hash:189e16100000000c
Wavelet Hash:fcc0ccfc3c3c3c00
Color Hash:#2d9bd2

Other Hashes

Crop Resistant:189e16100000000c

Scan History

Scan history not available

Unable to load historical scan data