Security Scan Report: vanermalarna.se

Redirected to:
https://www.vanermalarna.se/
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Submitted: Completed: publiccompleted
This website contacted 16 IPs in 1 country across 8 domains to perform 139 HTTP transactions. The main domain is vanermalarna.se.

Submitted URL: https://vanermalarna.se

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

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Legitimate Swedish painting company website hosted on Wix. No phishing, credential collection, malware, or threat-intelligence indicators were detected.

Safety Factors (5)
Self-branding matches the domain, indicating this is the site's own brand rather than impersonation.
No credential or payment collection forms are present.
No Indicators of Compromise, hunting rule malware detections, Safe Browsing issues, or IDS alerts were reported.
The page describes a legitimate trade business with services, customer reviews, and contact details.
Cross-origin requests are limited to standard Wix/CDN and analytics infrastructure.
Domain age information unavailable

Details

Page Title

Vänermålarna, Målning, tapetsering, målartjänster

Scan Type

public

Domain Name Analysis

You're looking at domain 'vanermalarna.se' on the Swedish country-code top-level domain (.se) without a subdomain. The core label 'vanermalarna' covers 12 characters holding 5 vowels versus seven consonants. Segmentation suggests four words: van, er, mala, rna. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

[6] c fe] 5 = I VANERMALARNA Med färg & kunskap framkallar vi känslor du inte trodde fanns! Vänermålarna erbjuder målning, tapetsering, fönstermålning & målartjänster i Värmland, Närke, Dalsland...

Page Load Overview

2.02s
Total Load Time
1.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:2,603 chars
Detector Agreement:100%

All Detected Languages

🇸🇪sv(96%)🇺🇸en(2%)🇩🇪de(1%)

Website Classification

Primary Category

documentation technical98% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
98%
blog personal website
76%
adult content
52%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8634.120.208.232Google · CDNKansas City, Missouri, United States
AS396982Google LLC
2465.8.131.76Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1135.173.95.245Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
823.236.62.147Google · CDNCouncil Bluffs, Iowa, United States
AS396982Google LLC
865.8.131.77Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
8100.49.75.227Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
8151.101.130.217Fastly · CDNUnited States
AS54113Fastly, Inc.
865.8.131.55Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
865.8.131.125Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
854.86.138.210Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
13916--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T110C48E7077417C3D8B9712EDBA42B60920A45412DD910A6BFDFC66782FE2DE913D332A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:Mjdz0hc4DVGa+GxOQwPBD+Ivuz6cE6AmRLKrm9/jXdeMz:Mjd6PVGa+4F+PvuzXz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:554224:EKYMAJpKAAEYEVgmTIkQhecEQbxCAQWApECvEISqIgioS3TMRg5tR0kT8SCAEICmABCUVjA1ZLAVAwA0kQBKIyIwDJESMQpO

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:fffa387870f0f8ff
Perceptual Hash:c990b6e7a84ab62d
Difference Hash:3bd2b3b3f243c313
Wavelet Hash:fff8181030b070ff
Color Hash:07600008001

Scan History

Scan history not available

Unable to load historical scan data