Security Scan Report: lyckligastorgatan.se

Redirected to:
https://www.lyckligastorgatan.se/
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Submitted: Completed: publiccompleted
This website contacted 18 IPs in 1 country across 8 domains to perform 114 HTTP transactions. The main domain is lyckligastorgatan.se.

Submitted URL: https://lyckligastorgatan.se

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate Swedish concept-store site with self-branding, no credential or payment forms, and no content-malware evidence. The single threat-intel match concerns a shared Wix IP, not this site.

Safety Factors (5)
Self-branding detected: title/meta mention 'lyckligastorgatan', matching the domain.
No forms of any kind, including credential or payment forms.
Business content is coherent and local: store address, booking details, services, and contact information.
Third-party resources are common Wix infrastructure domains.
No malicious scripts, IDS alerts, or content-malware indicators.
Domain age information unavailable

Details

Page Title

HOME | Lyckligastorgatan

Scan Type

public

Domain Name Analysis

Within the Swedish country-code top-level domain (.se), 'lyckligastorgatan.se' is registered with no subdomain. The registrable portion 'lyckligastorgatan' spans 17 characters split between five vowels and twelve consonants. It segments into 7 words: lyc, k, liga, st, org, at, an. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

LYCKLIGA STORGATAN THE CONCEPT STORE STORGATAN 9 - SUNDSVALL Vi tar kunder via bokning alla dagar. Drop-in Onsdag är endast för butiksdelen med smycken, assessorer och produkter. Alla klänningsprovn...

Page Load Overview

15.80s
Total Load Time
887 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:1,994 chars
Detector Agreement:79%

All Detected Languages

🇸🇪sv(96%)🇮🇩id(2%)🇩🇰da(2%)

Website Classification

Primary Category

healthcare medical45% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

healthcare medical
45%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7534.120.208.232Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1534.149.206.255Google · CDNKansas City, Missouri, United States
AS396982Google LLC
9100.49.75.227Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
865.8.131.125Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
6172.66.3.8Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6185.230.63.107Ashburn, Virginia, United States
AS58182Wix.com Ltd.
665.8.131.76Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
6151.101.130.217Fastly · CDNUnited States
AS54113Fastly, Inc.
6185.230.63.171Ashburn, Virginia, United States
AS58182Wix.com Ltd.
665.8.131.77Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
11418--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T104849EB4A7017C3E561310EF969ABB0D70285011DE954924FAECA2341BDAEE913E377F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:Itdz3h8s6VQDU7GyhDQwPBjvtwtbJcEqJ:ud1mVQDU7GyhE+BwtbK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:385043:QQbgnspEwOcIJABOXC7IJAkHJBUBIRgShMQMMYJ2AQkcBDIkS4EsAIUKGEiwAoKAzJFGFq27QAIEwD1VjADPUQgAlPAMgEkY

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:ffffffffffe3e1e1
Perceptual Hash:e59267349a996699
Difference Hash:0c0c0e3027070723
Wavelet Hash:e6e6e6cf83c181c1
Color Hash:07c00008000

Scan History

Scan history not available

Unable to load historical scan data