Security Scan Report: bilvardexpertenvastervik.se

Redirected to:
https://www.bilvardexpertenvastervik.se/
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Submitted: Completed: publiccompleted
This website contacted 25 IPs in 3 countries across 23 domains to perform 173 HTTP transactions. The main domain is bilvardexpertenvastervik.se.

Submitted URL: https://bilvardexpertenvastervik.se

Effective URL:
https://www.bilvardexpertenvastervik.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

Swedish car/boat care business site on its own matching domain; no forms, no impersonation, no threat-intel, hunting rule or IDS corroboration. Unknown domain age is neutral here.

Safety Factors (5)
Page displays only its own brand; no impersonation of another entity
No login, credential or payment forms present
No Indicators of Compromise, hunting rule or Safe Browsing hits
Consistent, verifiable local business details (address, phone, hours, map)
Plain non-www to www redirect only; no redirect chain to unrelated hosts
Domain age information unavailable

Details

Page Title

Bilvårdsexperten i Västervik | Bilvård, Båtvård, Husbilar

Scan Type

public

Domain Name Analysis

You're looking at domain 'bilvardexpertenvastervik.se' on the Swedish country-code top-level domain (.se) while skipping any subdomain. The registrable portion 'bilvardexpertenvastervik' spans 24 characters holding 8 vowels versus 16 consonants. Breaking it apart gives 8 words: bil, var, d, expert, en, vaster, vi, k. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bilvardexpertenvastervik.se

Page Load Overview

2.06s
Total Load Time
7.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv-SE
Text Length:4,749 chars
Detector Agreement:80%

Website Classification

Primary Category

government public service54% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
54%
adult content
44%
documentation technical
43%
corporate business
36%
blog personal website
28%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
29198.49.23.144Squarespace · CLOUDUnited States
AS53831Squarespace, Inc.
6146.75.120.237Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
634.160.236.44Google · CDNKansas City, Missouri, United States
AS396982Google LLC
6146.75.120.238Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
6157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
6142.251.13.97Google · CDNUnited States
AS15169Google LLC
6172.67.70.74Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6216.239.32.36Google · CDNUnited States
AS15169Google LLC
6165.232.46.2Slough, England, United Kingdom
AS14061DigitalOcean, LLC
6172.217.117.4Google · CDNUnited States
AS15169Google LLC
17325--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10674076990713439214FB1F0A2AA270D1663D323DAE65FD4F8EC85A59FCEFD40CA3259

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:fE10eVQ/dDhmvVVGCXeQ0aLNCedB5siUGLKjFhorG2MFWD67zG/2OaxaZdyCX7JZ:y27Q0aLNlB5si437zG/2O7b

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:339877:GRG5EAYohsQC1kiECQWwcGBbJ0qAISJAUjQFCiNjwIE1QITAQYIAQsVRguIQRdIsxwYAA0UxATQCQiGMRAzKBcwRCVMKYvLA

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:00c043010008ffff
Perceptual Hash:e820e75817b719d5
Difference Hash:27979eb7b2b38d32
Wavelet Hash:00c1cb474058ffff
Color Hash:1e201208040

Scan History

Scan history not available

Unable to load historical scan data