Security Scan Report: hebban.nl

Redirected to: https://www.hebban.nl/

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Submitted: Jan 6, 2026, 9:28:43 PMCompleted: Jan 6, 2026, 9:30:36 PMpubliccompleted
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Summary

This website contacted 16 IPs in 3 countries across 16 domains to perform 86 HTTP transactions. The main domain is hebban.nl and was registered NaN years ago.

Submitted URL: https://hebban.nl

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

The Cisco Umbrella rank of the primary domain is #309,784 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors
Well‑established domain with a long registration history
No credential‑harvesting or payment collection forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Voor lezers. Door lezers. | Hebban.nl

Scan Type

public

Language

🇳🇱

Dutch

(80% confidence)

Category

social media network

(73%)

Domain Information

You're looking at domain 'hebban.nl' on the Dutch country-code top-level domain (.nl) and has no subdomain. Count 6 characters in 'hebban' holding 2 vowels versus four consonants. Segmentation suggests 3 words: he, bb, an. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hebban.nl

Page Load Overview

21.74s
Total Load Time
109
HTTP Requests
16
Domains
3.1 MB
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
Text Length:19,629 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network73% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
73%
technology software
32%
forum
25%

Detected Features

Search
Comments
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19142.250.185.74United States
AS15169GOOGLE
6216.239.32.36United States
AS15169GOOGLE
6104.18.10.207United States
AS13335CLOUDFLARENET
6185.111.111.157Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
623.53.42.179Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
6185.180.222.15Unknown
623.215.20.211Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
6142.251.140.168United States
AS15169GOOGLE
689.41.171.107Netherlands
AS20857Signet B.V.
6172.217.23.106United States
AS15169GOOGLE
10916--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T100747170B18E356F0B9386F09554F74BA6C748E6D98180DAB8FB4B246BC6D236C7C067

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:DTlSaFQTeQKclIexQ4UQ4oxQTg6KlUstNv0LvHvnMBkvNn9n45SwGx/ggnY5RNfx:DAnhlZkvNn9n4owM/xI7tJemJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:361721:jciGWA4qKMIgGlJENSvKKIJ0BQaYAKshhIYKjkkSwFQQGgJoqCADEFAwMGeSABPlQWASYm8nUhcRBZFcRFGAZjaAgCpeAE0M

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:00003c3c3c3c0000
Perceptual Hash:8f1a7165921bcf70
Difference Hash:f017716161610f31
Wavelet Hash:0000bdbfffbd8183
Color Hash:#d22d5c

Other Hashes

Scan History

Scan history not available

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