ScanMalware.com

Security Scan Report: schwarzclinic.se

Redirected to:
https://www.schwarzclinic.se/
Site favicon
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/3e028801-4ea4-4863-bbb8-1fb3c0222f7dDomain and IP registration (RDAP)/api/v1/rdap/3e028801-4ea4-4863-bbb8-1fb3c0222f7dHow often this domain was scanned/api/v1/domain/stats/schwarzclinic.seScan history for this domain/api/v1/domain/history/schwarzclinic.se?limit=15
This website contacted 16 IPs in 1 country across 9 domains to perform 141 HTTP transactions. The main domain is schwarzclinic.se.

Submitted URL: https://schwarzclinic.se

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

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Legitimate self-branded Swedish beauty clinic site on Wix; no forms, no impersonation, no threat-intel, hunting rule or IDS hits. Domain age unknown, which is neutral here.

Safety Factors (5)
Self-branding: site name matches its own domain, no other entity's brand is presented
No forms at all on the page, so no credential harvesting or payment capture
No Indicators of Compromise, no hunting rule malware patterns, no IDS alerts, no Safe Browsing hit
Publishes verifiable business contact details consistent with the domain ([email protected], +46 735 00 50 17, Nyköping address)
JavaScript is standard Wix/analytics tooling contacting top-1M ranked hosts; no credential exfiltration detected
Domain age information unavailable

Details

Page Title

Botox och fillers | Schwarz Clinic | Södermanlands län

Scan Type

public

Domain Name Analysis

Domain 'schwarzclinic.se' uses the Swedish country-code top-level domain (.se) with no subdomain. Its registrable label 'schwarzclinic' stretches across 13 characters containing three vowels alongside 10 consonants. Tokenizing the label suggests two words: schwarz, clinic. Expect 6.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://schwarzclinic.se

Page Load Overview

2.14s
Total Load Time
2.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:3,312 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical91% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
91%
education learning
76%
documentation technical
44%
adult content
33%
blog personal website
31%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2134.149.87.45Google · CDNKansas City, Missouri, United States
AS396982Google LLC
823.236.62.147Google · CDNCouncil Bluffs, Iowa, United States
AS396982Google LLC
865.8.131.55Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
834.120.208.232Google · CDNKansas City, Missouri, United States
AS396982Google LLC
854.86.138.210Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
834.149.206.255Google · CDNKansas City, Missouri, United States
AS396982Google LLC
8151.101.194.217Fastly · CDNUnited States
AS54113Fastly, Inc.
865.8.131.77Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
865.8.131.76Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
8151.101.2.217Fastly · CDNUnited States
AS54113Fastly, Inc.
14116--

Detected Technologies9

X-UA-Compatible
100%
Wix
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
React
50%
HSTS
40%
Onsen UI
20%
Lodash
20%
Bootstrap
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T176F47E7027612C3C8BCB12DDB697BA0E21E415178985027AFDED29AD2FE39D812D7317

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:I/dzDhnXqoVjbhDQwPBjv85rgCcEAYda6DO4Z1SQRzXdac:IdxrVPhE+Q5rgC1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:735724:SQ4uFAGHwAQQQQFyfEgAqDEohKaPkUIIOEIShIkCOIGASIJaC+ciHUgCBccADIHFBAlyjkAACpAaXCACEghYIIAS5PlkAlHK

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:04040604040eff0f
Perceptual Hash:9244b95627ed17a6
Difference Hash:cdededed6d7c787b
Wavelet Hash:061d0f07050effaf
Color Hash:06c00000000

Other Hashes

Crop Resistant:cdededed6d7c787b,c080000000000000,7379797979393937,4e18189098184c2e,2121498395210c5d,c1cd494d4d4d4c4e

Scan History

Scan history not available

Unable to load historical scan data