Security Scan Report: mijnzakelijk.ing.nl

Redirected to: https://mijnzakelijk.ing.nl/login/

Submitted: Dec 24, 2025, 7:27:39 PMCompleted: Dec 24, 2025, 7:35:16 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 4 domains to perform 294 HTTP transactions. The main domain is mijnzakelijk.ing.nl.

Submitted URL: https://mijnzakelijk.ing.nl

Effective URL: https://mijnzakelijk.ing.nl/login/Redirected

The Cisco Umbrella rank of the primary domain is #65,973 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Log in to Mijn ING - ING Banking

Scan Type

public

Language

🇳🇱

Dutch

(57% confidence)

Category

finance banking

(78%)

Domain Information

The domain name 'mijnzakelijk.ing.nl' uses the Dutch country-code top-level domain (.nl), featuring subdomain 'mijnzakelijk'. The core label 'ing' covers 3 characters split between one vowel and two consonants. Splitting it apart reveals one word: ing. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mijnzakelijk.ing.nl

Page Load Overview

37.07s
Total Load Time
42
HTTP Requests
1
Domains
142 KB
Total Size

Language Analysis

Primary Language

🇳🇱Dutch
Code: nl
Confidence:57%
Script:Latin
Direction:ltr

Detection Details

Language Code:nl
Detection Confidence:57%
Script Type:Latin
Text Length:117 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking78% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
78%
gambling betting
42%
corporate business
42%
technology software
30%
documentation technical
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1418.244.18.52United States
AS16509AMAZON-02
1423.50.131.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1423.50.131.137Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
423--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T152335C371CE2252EA1029666D3E97A402733C513CA05CDA8B9CC074D9FDBFE5899FB49

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:637WeTbDDzm9CpDgKeehnrym5ZiGY0U4eiLzf:637WeTbDDzm9CpDBhn3U4eiv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:51725:cgiyiJMAuBA1MIW0ESjJqMEAgCAkCYsBgEEQUwQghi3MkIJEFqIkAF6oYGuo2pgkEFi0VAGxQuURIBFjAXAjQWAKKQNSwBCH

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

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