Security Scan Report: sv-svn69.nl

Redirected to: https://www.sv-svn69.nl/Security/login?BackURL=%2F

Submitted: Feb 14, 2026, 11:21:16 PMCompleted: Feb 14, 2026, 11:23:01 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is sv-svn69.nl and was registered NaN years ago.

Submitted URL: http://sv-svn69.nl/

Effective URL: https://www.sv-svn69.nl/Security/login?BackURL=%2FRedirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate site for Supportersvereniging SVN 69; no security concerns detected.

Safety Factors
Well‑established domain (>19 years old)
No malicious Indicators of Compromise
No JavaScript malware detected
Login form aligns with expected member portal functionality
No brand impersonation or payment collection
Domain age information unavailable

Details

Page Title

Meld aan - Supportersvereniging SVN 69 Nijeveen

Scan Type

public

Language

🇳🇱

Dutch

(80% confidence)

Category

news media journalism

(33%)

Domain Information

The domain 'sv-svn69.nl' uses the Dutch country-code top-level domain (.nl). Count 8 characters in 'sv-svn69' containing 0 vowels alongside five consonants, along with 2 digits and 1 hyphen. Tokenizing the label suggests three words: sv, svn, 69. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://sv-svn69.nl/

Page Load Overview

9.13s
Total Load Time
17
HTTP Requests
6
Domains
333 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-NL
Text Length:265 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism33% confidence
Type: webapp
Method: ml+structural

All Detected Categories

news media journalism
33%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17149.210.183.6Netherlands
AS20857Signet B.V.
171--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DAC08CB7C021890FAB3026F8C9827894AF08920DC1321E44B6D0E2A6F448EEB848329C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BQhBbZ6i83PvXE11YIIPvdHYaXEQoqa:qzxV/5VHHoB96D3ne1k9Ycw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:348fc553335bda82dffebf49122dd182

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:#e06c75

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

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