Security Scan Report: onderwijsvanmorgen.nl

Redirected to:
https://www.onderwijsvanmorgen.nl/
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Submitted: Jul 10, 2026, 1:25:51 AMCompleted: Jul 10, 2026, 1:26:17 AMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 5 domains to perform 54 HTTP transactions. The main domain is onderwijsvanmorgen.nl and was registered NaN years ago.

Submitted URL: https://onderwijsvanmorgen.nl

Effective URL: https://www.onderwijsvanmorgen.nl/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The site appears legitimate, with no malicious indicators and a long‑standing domain.

Safety Factors
Established domain with long registration history
Content focused on education with no suspicious behavior
No external malicious links or scripts
Domain age information unavailable

Details

Page Title

Onderwijs van Morgen

Scan Type

public

Language

🇳🇱

Dutch

(80% confidence)

Category

education learning

(94%)

Domain Information

You're looking at domain 'onderwijsvanmorgen.nl' on the Dutch country-code top-level domain (.nl) without a subdomain. Count 18 characters in 'onderwijsvanmorgen' containing 6 vowels alongside 12 consonants. Tokenizing the label suggests seven words: on, der, wi, js, van, mo, rgen. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://onderwijsvanmorgen.nl

Page Load Overview

2.90s
Total Load Time
54
HTTP Requests
5
Domains
483 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:nl
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:nl-NL
Text Length:18,913 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning94% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
94%
corporate
25%
news/blog
20%

Detected Features

Search
Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1299.84.152.66Cloudfront · CDNUnited States
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799.84.152.13Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
7142.251.14.136Google · CDNUnited States
AS15169Google LLC
799.84.152.63Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
720.93.211.47Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
799.84.152.97Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
7142.251.14.93Google · CDNUnited States
AS15169Google LLC
547--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F284C7A200D740BFA35FC3D561EADF58F0928009CD9805C4E2FA96DDE3C5ED53AAA785

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:SWvprKbBrp/8JRTgalAPowTgGPGj2jpFU+0U+0hm7Ec2ubJwbo+0U+0hm7NsyzAG:SWvFKlBgGPGj2jpFQ24JwbEAwOU0Ba

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:371660:ZGSorCBEKRJB4CMHtAnwkAKqL1AVV7KQsAiMAxkQFemgusgAPiMGREIwRgEBBF0EUwqEInSmBYiIcElBgAI8gqhkDiAToCED

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:fff391f1f100dcfc
Perceptual Hash:ecadd293e948239c
Difference Hash:6b37272333cc3419
Wavelet Hash:fd9391f1f100dce0
Color Hash:#d46ce0

Scan History

Scan history not available

Unable to load historical scan data