Security Scan Report: www.mijnwefact.nl

Redirected to: https://www.mijnwefact.nl/inloggen

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Submitted: Mar 6, 2026, 4:22:08 AMCompleted: Mar 6, 2026, 4:23:26 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 12 HTTP transactions. The main domain is mijnwefact.nl and was registered NaN years ago.

Submitted URL: https://www.mijnwefact.nl

Effective URL: https://www.mijnwefact.nl/inloggenRedirected

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate WeFact login page with no security concerns detected.

Safety Factors
Established domain (>16 years old)
No malicious Indicators of Compromise
No JavaScript malware detected
No IDS alerts
Login form matches the service’s own domain
Domain age information unavailable

Details

Page Title

WeFact - Inloggen

Scan Type

public

Language

🇳🇱

Dutch

(80% confidence)

Category

blog personal website

(67%)

Domain Information

The domain name 'www.mijnwefact.nl' uses the Dutch country-code top-level domain (.nl) and includes subdomain 'www'. The registrable portion 'mijnwefact' spans 10 characters split between 3 vowels and seven consonants. Splitting it apart reveals 4 words: mi, jn, we, fact. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.mijnwefact.nl

Page Load Overview

0.90s
Total Load Time
10
HTTP Requests
1
Domains
97 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
Text Length:247 chars
Detector Agreement:100%

Website Classification

Primary Category

blog personal website67% confidence
Type: webapp
Method: ml+structural

All Detected Categories

blog personal website
67%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1046.17.10.171Bergen op Zoom, North Brabant, Netherlands
AS39591Previder B.V.
101--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T129B13413A4C94D5B12118499AE16FB28ED97843BCB0E9D90F2FE01DE1FE5FC6C853259

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:VJPU96+do9S+jnDYPRLmTiIMOjurLq5L6cv0uS:VWdpADYPR+iUqq5L6cv0uS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5216:B4gAMgUCIELMEwvMAIAAChAk6hQgBk4oBgBIEBgwAAIKQABYECIBGBpCgJIwqAAAJggBRAAEMA4wMSAKhACAxEMXkCEAEQwg

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:00181818180020ff
Perceptual Hash:c91ce336a662b663
Difference Hash:32b2b2b2b204cbc3
Wavelet Hash:181818181800ffff
Color Hash:#2d863c

Other Hashes

Crop Resistant:32b2b2b2b204cbc3

Scan History

Scan history not available

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