Security Scan Report: borreliakollen.se

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Submitted: Dec 3, 2025, 10:04:01 PMCompleted: Dec 3, 2025, 10:08:09 PMpubliccompleted
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Summary

This website contacted 23 IPs in 4 countries across 7 domains to perform 59 HTTP transactions. The main domain is borreliakollen.se and was registered NaN years ago.

Submitted URL: https://borreliakollen.se/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Misstanke om borrelia? Vi ställer diagnos direkt på nätet

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'borreliakollen.se' on the Swedish country-code top-level domain (.se) with no subdomain. The registrable portion 'borreliakollen' spans 14 characters split between 6 vowels and 8 consonants. Breaking it apart gives three words: borrelia, koll, en. The median word length lands at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://borreliakollen.se/

Page Load Overview

1.08s
Total Load Time
59
HTTP Requests
7
Domains
1.6 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:sv
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:sv
Text Length:10,762 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4251.12.74.0Sweden
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
7216.58.206.72United States
AS15169GOOGLE
223.56.205.206Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
2216.239.34.36United States
AS15169GOOGLE
223.36.162.200Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2142.250.184.200United States
AS15169GOOGLE
2216.239.32.36United States
AS15169GOOGLE
223.36.162.211Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
22a02:26f0:3500:18::1724:a29dFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2104.18.17.34United States
AS13335CLOUDFLARENET
5923--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T166B452A7B504E849D2C49D4F223E3C3A994E8597C6976CFA90D9CF0506C027E6FE396C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:zwZOCoguQw0AAAemEQrJzPZOCoguQw0AAAemEQrm6vWVQQxwUWOxNyfVwHXR4Jof:7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:502369:CAo3FSJQkEuDNShAAFkjIBGOVBAi4HBAA2IwhMUMpmSJAgNpsAEdAECXQGsYeTDjhBeAgDywIAEARC9H4SAVCitggAwiDmAi

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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