Security Scan Report: weilbach.dk

Redirected to: https://www.weilbach.com/

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Submitted: Mar 2, 2026, 1:28:25 PMCompleted: Mar 2, 2026, 1:29:28 PMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 10 domains to perform 14 HTTP transactions. The main domain is weilbach.com and was registered NaN years ago.

Submitted URL: https://weilbach.dk

Effective URL: https://www.weilbach.com/Redirected

The Cisco Umbrella rank of the primary domain is #231,117 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Well‑established domain with long registration history
No malicious Indicators of Compromise
No credential or payment collection forms
No JavaScript malware or suspicious behavior
Secure HTTPS connection
Domain age information unavailable

Details

Page Title

Weilbach

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

cryptocurrency blockchain

(40%)

Domain Information

The domain 'weilbach.dk' uses the Danish country-code top-level domain (.dk) with no subdomain. The registrable portion 'weilbach' spans 8 characters with three vowels and five consonants. Word splitting yields two words: weil, bach. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://weilbach.dk

Page Load Overview

2.58s
Total Load Time
46
HTTP Requests
11
Domains
1.1 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:176,473 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain40% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
40%
technology software
37%
e-commerce shopping
33%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11146.75.122.137Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
73.174.45.173United States
AS16509Amazon.com, Inc.
723.36.162.220Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
720.105.216.11Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
7162.247.243.39United States
AS54113Fastly, Inc.
723.56.205.206Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
466--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19B258D61E364B36C082386B0ED71EF8ED091A982D95A81D7ACBF8534E5814E95D7C33F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:kSNLsAnG1WeKnG8YGhbv6es/FexOlV2Wm3RE8baQrcs0W:kSVlG89hoUEWT3RxbL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1045671:SDAdUhQ4BBDMvXA4ClDDsUADA4AQhpIRGCDGIOUIBYTIqA9gNiNlQweZqAQkYQAAEAchoIAIIJBkOqRIICgogjvrcCygF2ME

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:00007c3c3c3c1800
Perceptual Hash:ca73702f3fc0c392
Difference Hash:39f1e1e968e0f1b5
Wavelet Hash:00387c7e3e3c7c5c
Color Hash:#c58799

Scan History

Scan history not available

Unable to load historical scan data