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Security Scan Report: svenssons.se

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

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/83c88a1c-f97d-4ce7-b1da-fdbb9e2aa36aDomain and IP registration (RDAP)/api/v1/rdap/83c88a1c-f97d-4ce7-b1da-fdbb9e2aa36aHow often this domain was scanned/api/v1/domain/stats/svenssons.seScan history for this domain/api/v1/domain/history/svenssons.se?limit=15
This website contacted 52 IPs in 3 countries across 41 domains to perform 218 HTTP transactions. The main domain is svenssons.se and was registered 31 years ago.

Submitted URL: https://svenssons.se

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Established Swedish furniture retailer with self-branding, no credential/payment forms, and no threat-intelligence or malware signals. Legitimate.

Safety Factors (5)
Established domain registered in 1995.
Self-branding matches domain.
No credential or payment forms on the captured page.
No malicious JavaScript or network IDS alerts.
Physical address and store locations are visible.
Domain age information unavailable

Details

Page Title

Inredning & Designmöbler online & i butik | Svenssons.se

Scan Type

public

Domain Name Analysis

Domain 'svenssons.se' uses the Swedish country-code top-level domain (.se). The second-level label 'svenssons' is 9 characters long containing two vowels alongside seven consonants. Tokenizing the label suggests two words: svensson, s. Expect 4.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://svenssons.se

Page Load Overview

3.07s
Total Load Time
27.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv-SE
Text Length:5,136 chars
Detector Agreement:80%

Website Classification

Primary Category

e-commerce shopping57% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
57%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14104.18.26.26Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4172.66.163.83Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4192.178.183.97Google · CDNUnited States
AS15169Google LLC
4104.18.27.26Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.20.44.120Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.14.97Google · CDNUnited States
AS15169Google LLC
4216.239.34.36Google · CDNUnited States
AS15169Google LLC
4216.239.32.36Google · CDNUnited States
AS15169Google LLC
4150.171.27.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
4150.171.28.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
21852--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FA740A24D1005D3ED76A47FDABE9E72EB29FD10BD0E108A4DBDC9ABC4386BA49013157

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:xk9ESSzTu0GFVlU8Ndra0OkSJuBAkuGV0atGTBPWMNdcb:aFSzTu0GFnU8Hra0OkSJuBAkuGVGPtdO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:350947:SBhMgoKCALUBEhAwbMk7pgAFEMCDQEPANzgEACLV8AE1KARocEciQtHgKwQgqESQAYMUyQnCY5AAiAa1FwVigSigaJCSd8wB

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:ff30383c3c3cffff
Perceptual Hash:cf4ab0a5b99209bd
Difference Hash:5361616160e0e517
Wavelet Hash:013038383c3c7fff
Color Hash:#8479d2

Other Hashes

Crop Resistant:5361616160e0e517,a6aa8eaea3b39e82,d3d6894271497170,656171697160f0e1,0020161616161616

Scan History

Scan history not available

Unable to load historical scan data