Security Scan Report: www.lindebeleghof.net

Redirected to:
https://lindebeleghof.net/
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Submitted: Completed: publiccompleted
This website contacted 4 IPs in 2 countries across 2 domains to perform 9 HTTP transactions. The main domain is lindebeleghof.net and was registered 2 months ago.

Submitted URL: https://www.lindebeleghof.net/

Effective URL:
https://lindebeleghof.net/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Fake AI investment platform matching an analyst-vetted phishing kit that harvests sign-ups and SMS-verifies phone numbers for call-centre fraud. Avoid entirely.

Risk Factors (5)
Analyst-vetted known malicious kit (fake AI trading/investment lead funnel)
Newly registered domain (70 days) with no corporate identity or licence disclosures
Unverifiable investment performance claims ('public performance logs', 'geverifieerde resultaten')
Links to unrelated suspicious external domain newly0-quisquam59.cfd
Obfuscation/encoding functions in inline scripts
Domain age information unavailable

Details

Page Title

Linde Beleghof — AI-platform voor slimmer kapitaalbeheer

Scan Type

public

Domain Name Analysis

The domain 'www.lindebeleghof.net' uses the network infrastructure generic top-level domain (.net), featuring subdomain 'www'. Its registrable label 'lindebeleghof' stretches across 13 characters holding 5 vowels versus 8 consonants. It segments into four words: li, ndebele, gh, of. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Linde Beleghof Overons _ Voordelen _ Veelgestelde vragen Waarom Linde Beleghof Slimmer kapitaalbeheer door data- intelligentie Linde Beleghof verbindt grote datastromen aan concrete investeringsstra...

Page Load Overview

1.37s
Total Load Time
37 KB
Total Size

Language Analysis

Primary Language

🇳🇱Dutch
Code: nl
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:nl
Text Length:4,717 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business69% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

corporate business
69%
government public service
48%
finance banking
40%
corporate
35%
adult content
25%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
388.80.24.133Sweden
AS33837Fredrik Holmqvist
2188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.16.180.112Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
94--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T156733B953596100951A3E1A7A3DB3B2EAA1DD103CC4AC855F6FD8621CFC7FA6A13B70C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Q0FmU/NJzWluRIIlBIHpmfVYDmwjSgpVYa23p7rI+iT3uQ/KUrFq9LhN3REyyIQ0:ZFDWlwII4HpWVYzjSIed0/K8y7r

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:73393:1WAUWiJhcVQBJFQIrYIUzYBBrj4ApAQCiQaiEqgWIAnIqAEBA2KBgJraMkKAQwEdIsBEQBEjagrAiJxEYmOqogGgEFgBIdoB

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:ff0000000000ffff
Perceptual Hash:8a4af96bcbc8c8ca
Difference Hash:2bb5616169318538
Wavelet Hash:ff0010190119ffff
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data