Security Scan Report: ayni.se

Redirected to:
https://www.ayni.se/
Site favicon
Submitted: Sep 27, 2026, 3:10:21 PMCompleted: Sep 27, 2026, 3:11:02 PMpubliccompleted

This website contacted 29 IPs in 1 country across 13 domains to perform 179 HTTP transactions. The main domain is ayni.se and was registered 31 years ago.

Submitted URL: https://ayni.se

Effective URL:

https://www.ayni.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 78%

1
Risk Score

Established Swedish wellness studio (ayni.se, 8-year-old domain) with self-branding, no forms, no credential or payment capture, and no content-malware, YARA, or IDS findings. The lone threat-intel hit is generic abuse-reputation on a shared Wix IP and carries no weight.

Safety Factors (6)
Established 8-year-old domain with consistent registration history
Self-branding: page title/meta match the domain (ayni.se), no claim to another entity's brand
No forms at all — no login, credential, or payment capture surface
No JavaScript malware, no obfuscated network sinks, no credential exfiltration
Published physical address, phone number, and named staff indicate a real operating business in Stockholm
Wix-hosted builder site; eval()/Function() constructs are part of the standard Wix runtime bundle
Domain age information unavailable

Details

Page Title

Funktionsmedicin i Stockholm - Ayni

Scan Type

public

Domain Name Analysis

Domain 'ayni.se' uses the Swedish country-code top-level domain (.se). Its registrable label 'ayni' stretches across 4 characters with 2 vowels and two consonants. Word splitting yields 2 words: ayn, i. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ayni.se

Page Load Overview

6.45s
Total Load Time
10.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:2,144 chars
Detector Agreement:80%

Website Classification

Primary Category

healthcare medical51% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
51%
adult content
29%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11172.66.3.8Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6185.230.63.186Ashburn, Virginia, United States
AS58182Wix.com Ltd.
665.8.131.76Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
63.230.53.155Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
634.149.206.255Google · CDNKansas City, Missouri, United States
AS396982Google LLC
634.49.229.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
6151.101.66.217Fastly · CDNUnited States
AS54113Fastly, Inc.
6185.230.63.171Ashburn, Virginia, United States
AS58182Wix.com Ltd.
665.8.131.125Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
665.8.131.77Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
17929--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15BC48E607201683D8B8B21ED7986BA0C20A45516D985477FF9ECB97C3EF29E913D3327

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:MzdzMhnKo5kX8MxEiuTi8U+IVwZYQUQRcEo3cJCKPp6JEXAwl:Gdi1S8Mxhueg9ZYQUQl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:594970:BJAATigApy4uUM542+nEVDBTeQQkAogBhvrUhQSAs0ZAVFFAJlhyNSBIlUsIAEaYyABSwMaASAwoAdQRCkpdXGScebbTgcli

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:ffff818181818181
Perceptual Hash:aad5d5c581726b2a
Difference Hash:002d2d0d4d2d2d15
Wavelet Hash:ffffc1c58181c181
Color Hash:#a253ac

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data