Security Scan Report: www.gedichten-freaks.nl

Redirected to: https://gedichten-freaks.nl/

Site favicon
Submitted: Feb 22, 2026, 3:16:12 AMCompleted: Feb 22, 2026, 3:16:39 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is gedichten-freaks.nl and was registered NaN years ago.

Submitted URL: https://www.gedichten-freaks.nl

Effective URL: https://gedichten-freaks.nl/Redirected

The Cisco Umbrella rank of the primary domain is #377,445 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

www.gedichten-freaks.nl

Scan Type

public

Language

🇳🇱

Dutch

(80% confidence)

Category

social media network

(99%)

Domain Information

The domain 'www.gedichten-freaks.nl' uses the Dutch country-code top-level domain (.nl) with subdomain 'www'. The registrable portion 'gedichten-freaks' spans 16 characters containing 5 vowels alongside 10 consonants; it also includes one hyphen. Segmentation suggests 3 words: gedichte, n, freaks. Expect six characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.gedichten-freaks.nl

Page Load Overview

2.35s
Total Load Time
21
HTTP Requests
7
Domains
502 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:8,679 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network99% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
99%
documentation technical
90%
technology software
88%
blog personal website
82%
government public service
66%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21185.138.80.43Netherlands
AS203318Bizway BV
211--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FA048F77329A063985558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:efQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszO2bMy8Oldk:NhoC9JSqzzbs6o3Sj3gcrsK2eA6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184506:BVMMjEQAgSmA9UAIKKhSmRmkQIriAwwJAAAzAICBwKlAAFwRGqJgZkIIIM6BASmgEjA+OJJKSh6mGRwYSBJOgGuBEEAwpjIn

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:ffcfc7c7ffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00180c1400000000
Wavelet Hash:2f0f030f0f0f0f0f
Color Hash:#382dd2

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data