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Security Scan Report: iederkindmagzijnenkanworden.nl

Redirected to: https://secure.cmvrclicks000.com/track/MjM3OC4yLjIuMzkxLjAuMC4wLjAuMC4wLjAuMA?subaff=sml_457f5686&_ocid=e93240d0deebd0114e04475b2bc8b883acaa0306&tds_cid=e93240d0deebd0114e04475b2bc8b883acaa0306

Submitted: Oct 25, 2025, 3:24:41 AMCompleted: Oct 25, 2025, 3:26:19 AMpubliccompleted
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Summary

This website contacted 31 IPs in 1 country across 4 domains to perform 7 HTTP transactions. The main domain is secure.cmvrclicks000.com and was registered NaN years ago.

Submitted URL: https://iederkindmagzijnenkanworden.nl/tam-su-tinh-yeu-dtcate-1132

Effective URL: https://secure.cmvrclicks000.com/track/MjM3OC4yLjIuMzkxLjAuMC4wLjAuMC4wLjAuMA?subaff=sml_457f5686&_ocid=e93240d0deebd0114e04475b2bc8b883acaa0306&tds_cid=e93240d0deebd0114e04475b2bc8b883acaa0306Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate site with no apparent security threats.

Safety Factors
Well-established domain
No malicious Indicators of Compromise
No sensitive data collection
Simple content with no hidden scripts
Domain age information unavailable

Details

Page Title

BEST MODELS - One of the most reputable modeling agencies

Scan Type

public

Language

🇧🇩

BN

(50% confidence)

Category

healthcare medical

(65%)

Domain Information

The domain name 'iederkindmagzijnenkanworden.nl' uses the Dutch country-code top-level domain (.nl) and has no subdomain. The second-level label 'iederkindmagzijnenkanworden' is 27 characters long with ten vowels and 17 consonants. Segmentation suggests nine words: i, eder, kind, mag, zi, j, nen, kan, worden. The median word length lands at three characters. Most frequently, 'i' shows up in Chinese (Pinyin). You will also see it in English and Bosnian contexts. Taken together, it feels Chinese (Pinyin).

Screenshot

Security scan screenshot of https://iederkindmagzijnenkanworden.nl/tam-su-tinh-yeu-dtcate-1132

Page Load Overview

16.23s
Total Load Time
7
HTTP Requests
4
Domains
N/A
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:50%
Script Type:Unknown
Text Length:175 chars
Detector Agreement:50%

All Detected Languages

🇧🇩bn(100%)🇨🇳zh(0%)

Website Classification

Primary Category

healthcare medical65% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
65%
cryptocurrency blockchain
63%
technology software
59%
finance banking
58%
real estate property
50%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7188.114.97.3United States
AS13335CLOUDFLARENET
03.212.164.73Ashburn, Virginia, United States
AS14618AMAZON-AES
018.66.122.118United States
AS16509AMAZON-02
018.66.122.69United States
AS16509AMAZON-02
03.228.82.105Ashburn, Virginia, United States
AS14618AMAZON-AES
052.222.214.99United States
AS16509AMAZON-02
052.222.214.33United States
AS16509AMAZON-02
02600:9000:223d:4a00:a:3354:7800:93a1United States
AS16509AMAZON-02
02a06:98c1:3121::3United States
AS13335CLOUDFLARENET
02600:9000:2250:3200:5:a614:be00:93a1United States
AS16509AMAZON-02
731--

Detected Technologies3

HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16BF06877D139A24F3A90812B689E6F3F10E13A1D0987EA4815153AB05FB12DE2E984C6

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:NnEglVueSujJwuAgYkujQugw9wanH3lnBIFh+MD1ekYDo:NnWujKqu08vZBIzEkYDo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:558:AAAAABAYAAAAEAAAAAAAAAAEAAAAAAAAQAAAAAAgIAAAAAEgAACAEAAAAAAAAAAAAAEAAgAABAAAAAAAIAAAACAAAAAAAAAA

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:7fffffffffffffff
Perceptual Hash:870707070f0f1f3f
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#6ce096

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data