Security Scan Report: fasciaklinikerna.se

Redirected to:
https://fasciaclinics.com/sv/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 21 IPs in 1 country across 10 domains to perform 44 HTTP transactions. The main domain is fasciaklinikerna.se.

Submitted URL: https://fasciaklinikerna.se

Effective URL:
https://fasciaclinics.com/sv/
Redirected

AI Security Verdict

Safe Website

Confidence: 82%

1
Risk Score

Swedish fascia-treatment clinic site, self-branded and consistent with its own domain; no forms, no impersonation, and no threat-intel, YARA or IDS hits. The .se to .com redirect is ordinary.

Safety Factors (5)
No credential-harvesting or payment forms; booking appears to be handled via clinic listings / email rather than an embedded capture form
Coherent, site-specific healthcare content with company identification (Atlasbalans AB, SE556874195201, Tingsvägen 17, Sollentuna)
No threat-intel, YARA, IDS, kit-roster or Safe Browsing indicators against the page or its resources
Cross-origin requests to Google Tag Manager, DoubleClick and a consent-management host are standard analytics/marketing infrastructure
The entry domain fasciaklinikerna.se has a long registration history consistent with an established brand presence
Domain age information unavailable

Details

Page Title

Fasciabehandling på kliniker i Sverige | Fasciaklinikerna

Scan Type

public

Domain Name Analysis

Domain 'fasciaklinikerna.se' uses the Swedish country-code top-level domain (.se) without a subdomain. Its registrable label 'fasciaklinikerna' stretches across 16 characters containing seven vowels alongside nine consonants. Breaking it apart gives six words: f, as, cia, kli, nike, rna. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fasciaklinikerna.se

Page Load Overview

2.63s
Total Load Time
2.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:5,847 chars
Detector Agreement:80%

Website Classification

Primary Category

healthcare medical65% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

healthcare medical
65%
government public service
60%
documentation technical
53%
adult content
53%
social media network
52%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4104.26.3.208Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.20.97Google · CDNUnited States
AS15169Google LLC
2142.251.144.6Google · CDNUnited States
AS15169Google LLC
2104.21.70.35Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.156.119Google · CDNUnited States
AS15169Google LLC
2142.251.20.149Google · CDNUnited States
AS15169Google LLC
2142.251.110.95Google · CDNUnited States
AS15169Google LLC
2188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.73.62Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4421--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T102932B2120091939EE378B84A5C8772C602EE142DB5A411AF57C05B4EFC7FEFB96639D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:siwxs9eg7lu2UH0NTsarZQQ0rGV4xksc64Jysq7vrWAVe9XBjMGGGGvDqGGGGt3j:sbJ4rebx/c64Jysq7vYYMnKY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:91377:ppSBnAcWBZ7ZRUYAQQSkHAAZBGCCDAWcgrEIAA6BqQDRsCLXQNBApUQwkCyqgQhVUOIohQQEYcgkBzjJLQotkgkMRKNEATEI

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:00003c3c3c3c01ff
Perceptual Hash:8a5a7425de0e8f69
Difference Hash:cc9be96171e92fcd
Wavelet Hash:7c003c3c3c3c23ff
Color Hash:#79a4d2

Scan History

Scan history not available

Unable to load historical scan data