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Security Scan Report: afspraakheld.nl

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Submitted: Nov 12, 2025, 9:48:22 PMCompleted: Nov 12, 2025, 9:49:26 PMpubliccompleted
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Summary

This website contacted 79 IPs in 3 countries across 18 domains to perform 74 HTTP transactions. The main domain is afspraakheld.nl and was registered NaN years ago.

Submitted URL: https://afspraakheld.nl/

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

New unranked site with no malicious signs; low risk but monitor for changes.

Risk Factors
Very new domain (registered less than 7 days ago) increases suspicion
Domain is unranked in Cisco Umbrella, indicating low reputation
Safety Factors
No malicious Indicators of Compromise matches found
No forms collecting passwords, payment, or personal credentials detected
No brand impersonation or trademark misuse observed
Domain age information unavailable

Details

Page Title

Afspraken Gatenvuller via Whatsapp | Werkt met ieder EPD

Scan Type

public

Language

🇳🇱

Dutch

(80% confidence)

Category

healthcare medical

(51%)

Domain Information

Within the Dutch country-code top-level domain (.nl), 'afspraakheld.nl' is registered and has no subdomain. Count 12 characters in 'afspraakheld' split between 4 vowels and 8 consonants. Word splitting yields 5 words: a, fs, praa, k, held. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://afspraakheld.nl/

Page Load Overview

10.21s
Total Load Time
74
HTTP Requests
18
Domains
3.0 MB
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:4,683 chars
Detector Agreement:80%

Website Classification

Primary Category

healthcare medical51% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
51%
government public service
44%
corporate business
35%
technology software
35%
corporate
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
74146.75.120.176Frankfurt am Main, Hesse, Germany
AS54113FASTLY
0142.250.186.68United States
AS15169GOOGLE
052.31.165.192Dublin, Leinster, Ireland
AS16509AMAZON-02
0142.250.184.196United States
AS15169GOOGLE
054.186.37.251Boardman, Oregon, United States
AS16509AMAZON-02
0100.20.60.3Boardman, Oregon, United States
AS16509AMAZON-02
0142.250.181.228United States
AS15169GOOGLE
0142.250.185.195United States
AS15169GOOGLE
0185.111.111.154Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
0142.250.186.136United States
AS15169GOOGLE
7479--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D873D7152244093EA51B8BBCF6E0B33DA036E249DDB7859DF3AE0076B3C3ED89563594

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:3UfpdW6u1WzXx/c64Jysq7vQbFgJBUDCQiUX6hDxwBBxQH6qwbbG:3UfpdW6FoF6UOQiUXi9mG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:77685:kl4QEMK0ArB6BBCVpwgAkFCEUEyFAj0cggxghgQUCFnBjUNpDUBkAgBYgLGJilHgBigoCJAqACS4ICCsKYXg8YCgKlcQAgCg

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:ff000000103cffff
Perceptual Hash:8a6cf5dab4e0c3b0
Difference Hash:617169b361691714
Wavelet Hash:ff180000143cffff
Color Hash:#2d8186

Other Hashes

Crop Resistant:617169b361691714,2b2b2b2b2b552b2b,607069fbb7616969

Scan History

Scan history not available

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