Security Scan Report: scalpkliniken.se

Redirected to:
https://www.scalpkliniken.se/
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Submitted: Completed: publiccompleted
This website contacted 41 IPs in 3 countries across 20 domains to perform 149 HTTP transactions. The main domain is scalpkliniken.se.

Submitted URL: https://scalpkliniken.se

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

AI Security Verdict

Safe Website

Confidence: 82%

1
Risk Score

Swedish SMP clinic on its own domain with self-branding and only contact forms (no password/payment fields). No Indicators of Compromise, malware or IDS hits; nothing malicious found.

Safety Factors (4)
Brand shown matches the domain (self-branding), no impersonation of another organisation
Only contact/booking-style forms, no password or payment fields
No Indicators of Compromise, malware, IDS or Safe Browsing hits
Established-looking business content with named practitioner and physical clinic locations
Domain age information unavailable

Details

Page Title

Scalpkliniken - Världsledande SMP för håravfall | Boka kostnadsfri konsultation

Scan Type

public

Domain Name Analysis

The domain name 'scalpkliniken.se' uses the Swedish country-code top-level domain (.se) without a subdomain. Its registrable label 'scalpkliniken' stretches across 13 characters containing 4 vowels alongside 9 consonants. Breaking it apart gives 3 words: scalp, kli, niken. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

invänder cookies for att ge dig bästa tänkbara upplevelse på vår webbplats. Om du vill veta mer kan du läsa vår int Start Vad är SMP Behandlingar v — Kliniker v Nyheter Omoss v Webbutik = a shoe Wo...

Page Load Overview

3.06s
Total Load Time
12.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:6,082 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical83% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
83%
adult content
46%
government public service
33%
blog personal website
32%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2976.223.58.8Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
313.248.175.166Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
335.172.94.1Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
3108.138.7.63Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
354.192.35.106Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3142.251.14.97Google · CDNUnited States
AS15169Google LLC
3108.138.26.114Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3104.20.42.78Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.18.10.63Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
313.32.121.60Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
14941--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13C541954BA682826A10782BF61A27B0DA164E35BC716189CFEEE11711FCB9D03D727DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:iiGor9XqseO/KLc+fTjs8F/s3On3cy8S0JhE+1re:iiGor9XKs3On3cy8S0JhEj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:296206:AVDwBMMSARmAIQiBH0AQQVVIDZEIQA7lbegkwgSRgc1EBNcFQwoEUkKUEgRLBjwDBEgeBKSAOoIg6AqGJIIgAEZIIiqAIYqu

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:01ffc1cbc3c3f1f1
Perceptual Hash:e992ce1e19497366
Difference Hash:312d9f1317132727
Wavelet Hash:00ffc1cb83c3b1f1
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data