Security Scan Report: linnea-visby.se

Submitted: Completed: publiccompleted
This website contacted 17 IPs in 3 countries across 15 domains to perform 305 HTTP transactions. The main domain is linnea-visby.se.

Submitted URL: https://linnea-visby.se

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Self-branded Swedish fashion store on a 2-year-old domain with only search/cart forms, no credential fields and no threat-intel, YARA or IDS hits. Reputation-only weakness keeps it at low risk.

Risk Factors (2)
Domain is unranked in Cisco Umbrella top 1M — a weak reputation prior, not evidence of wrongdoing
ML classifier mislabeled the page as 'adult content' (83%), inconsistent with the clearly fashion-retail content
Safety Factors (5)
2+ year old domain (WELL_ESTABLISHED, minimal-risk age category)
Self-branding: site's own name matches its domain
No credential or payment capture fields anywhere on the page
No threat-intelligence, YARA, Safe Browsing or network IDS hits
Visible business information (opening hours, shipping/returns guarantees) consistent with a genuine shop
Domain age information unavailable

Details

Page Title

Linnea Visby

Scan Type

public

Domain Name Analysis

You're looking at domain 'linnea-visby.se' on the Swedish country-code top-level domain (.se) and has no subdomain. Count 12 characters in 'linnea-visby' holding four vowels versus seven consonants, along with 1 hyphen. Breaking it apart gives 3 words: linne, a, visby. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://linnea-visby.se

Page Load Overview

4.68s
Total Load Time
4.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:6,530 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content83% confidence
Type: spa
Method: ml+structural

All Detected Categories

adult content
83%
e-commerce shopping
51%
blog personal website
36%
corporate
35%
government public service
29%

Detected Features

Search
Products
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3323.227.38.65Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
1723.227.39.20Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
1723.227.39.200Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
17104.18.38.76Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
17188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
17143.198.249.121Amsterdam, North Holland, Netherlands
AS14061DigitalOcean, LLC
17172.64.149.180Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1734.8.119.189Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1734.160.147.240Google · CDNKansas City, Missouri, United States
AS396982Google LLC
17142.251.110.97Google · CDNUnited States
AS15169Google LLC
30517--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B243AA180DA715E0E93762B733CA4C1A6BF4B9AB2D41F654BCCEC2050FD53FA40A7A59

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:59cWppQuJdtPROu3v4ywAoAQdM4HpFSgrSxpQuhlRnxCCO+EKk41jQXh4Hp72rGu:59EHPqD7x3P3SA9++kTiCNf50k

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:57047:vSWCjByIZDikVAAIBIDMAcwBYSjawSqMAhAIQLoEABAwihwiQkZcEoVRQAlKA6E4e2SC6RJAECtPAUl4Esj4QOkQAigSmUOY

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:fffff0f06060fcff
Perceptual Hash:c24dbc33bb4c6711
Difference Hash:3dc280a3cbc9a118
Wavelet Hash:00faf0f06060fcff
Color Hash:#78583a

Scan History

Scan history not available

Unable to load historical scan data