Security Scan Report: bilbasen.dk

Redirected to: https://www.bilbasen.dk/

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Submitted: Jan 28, 2026, 8:34:55 AMCompleted: Jan 28, 2026, 8:36:33 AMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 9 domains to perform 1 HTTP transaction. The main domain is bilbasen.dk and was registered NaN years ago.

Submitted URL: https://bilbasen.dk

Effective URL: https://www.bilbasen.dk/Redirected

The Cisco Umbrella rank of the primary domain is #815,345 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate Danish car marketplace with no security concerns detected.

Safety Factors
Established domain age and long registration history
Absence of credential‑harvesting or payment forms
Consistent meta tags with site purpose
Low ranking does not outweigh 29‑year domain reputation
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Brugte biler til salg | Køb brugt bil og nye biler - søg blandt +60.000 biler!

Scan Type

public

Language

🇩🇰

Danish

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'bilbasen.dk' uses the Danish country-code top-level domain (.dk) while skipping any subdomain. The registrable portion 'bilbasen' spans 8 characters with 3 vowels and five consonants. Breaking it apart gives 3 words: bil, base, n. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bilbasen.dk

Page Load Overview

4.09s
Total Load Time
97
HTTP Requests
12
Domains
1.4 MB
Total Size

Language Analysis

Primary Language

🇩🇰Danish
Code: da
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:da
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:da
Text Length:4,416 chars
Detector Agreement:80%

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13146.75.122.132Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
123.174.46.38United States
AS16509Amazon.com, Inc.
1279.127.216.204Germany
1213.32.99.74New York, New York, United States
AS16509Amazon.com, Inc.
123.174.46.62United States
AS16509Amazon.com, Inc.
12142.251.140.162United States
AS15169Google LLC
12142.251.141.136United States
AS15169Google LLC
1218.245.60.18United States
AS16509Amazon.com, Inc.
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Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T146B3292274C09A7F53334FC9F653EF2B507B625DCABA0D54929889284BC9DE47A1720F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:/7aShPh0z8JYYRNkZPsbP9BegUDkX7B71v9vu:/G4lNktsbP9BegUDkXY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:110149:gLCglJKoOCCRECIjwYWbARYThRRUiGAQKjFAsYAQEFZgIkIscNgRhbTQIAXcgW/CEAkZQomEQEahQYkFUXZAIgH2NoYrNwMM

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:ffffffffffc3c3d3
Perceptual Hash:e4936c33ce3162ce
Difference Hash:c8224d45658e86a6
Wavelet Hash:ff0075757d414151
Color Hash:#e0906c

Scan History

Scan history not available

Unable to load historical scan data