Security Scan Report: bozetto.se

Redirected to:
https://bozetto.se/products/no-2722?utm_source=spoks&utm_campaign=Gl%C...
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Submitted: Sep 21, 2026, 11:32:15 AMCompleted: Sep 21, 2026, 11:33:22 AMpubliccompleted

This website contacted 27 IPs in 5 countries across 23 domains to perform 439 HTTP transactions. The main domain is bozetto.se and was registered 29 years ago.

Submitted URL: https://bozetto.se/products/no-2722?utm_source=spoks&utm_campaign=Gl%C3%B6mde+du+n%C3%A5got%3F&utm_content=product&utm_medium=email&_spkscid=4f02c17e-257a-4ac8-b1fd-28b9c62805d2&_spksv=1.0

Effective URL:

https://bozetto.se/products/no-2722?utm_source=spoks&utm_campaign=Gl%C...
Redirected

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Legitimate Swedish Shopify poster store matching its own brand. No phishing, credential or payment capture, malware, or reputation signals. Safe to use.

Safety Factors (5)
Verified form facts show 0 password, 0 disguised-password and 0 payment fields — no credential harvesting
Self-branding detected: site's own brand matches its domain, no impersonation of another entity
Domain over 1 year old with standard hosting
No cross-origin credential forms or credential exfiltration detected
Machine-learning classifier rates the page as e-commerce (100%)
Domain age information unavailable

Details

Page Title

Morning Coffee Cat Poster - Affisch – Bozetto

Scan Type

public

Domain Name Analysis

The domain name 'bozetto.se' uses the Swedish country-code top-level domain (.se). The registrable portion 'bozetto' spans 7 characters with three vowels and 4 consonants. It segments into three words: boz, et, to. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bozetto.se/products/no-2722?utm_source=spoks&utm_campaign=Gl%C3%B6mde+du+n%C3%A5got%3F&utm_content=product&utm_medium=email&_spkscid=4f02c17e-257a-4ac8-b1fd-28b9c62805d2&_spksv=1.0

Page Load Overview

14.00s
Total Load Time
5.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:30,418 chars
Detector Agreement:80%

Website Classification

Primary Category

e-commerce100% confidence
Type: spa
Method: structural

All Detected Categories

e-commerce
100%
corporate
70%

Detected Features

Search
Products
OG: product
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2323.227.38.32Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
1623.227.39.200Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
16146.75.122.133Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
16104.26.10.157Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
16104.26.10.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
16172.67.73.186Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
16172.67.68.29Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
16142.251.14.95Google · CDNUnited States
AS15169Google LLC
16206.189.7.91Amsterdam, North Holland, Netherlands
AS14061DigitalOcean, LLC
16104.26.11.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
43927--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A9753A91D070183D26A381FAEFB676DC3290F2C3D396A551B9BD83544F87BB5582322E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:ZF2EJ/F047Bjm+ddCNC9XEfyY1rh4huZDXTD26kqx56:ZgI/FtjgB26G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1631975:BV6EyEToomFUEIAQgBXzCoBcDbAccGCFoAwQRB1hmgGgiNQCESIYEYACk18JERMEADiAYQKAT06uAAOI0EyD6jBAAQBr4hUE

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:0000ff3f3f0303ff
Perceptual Hash:8d587237dc0936e3
Difference Hash:318f6773735f53b2
Wavelet Hash:0000fb3f3b0b23ff
Color Hash:#bf9540

Scan History

Scan history not available

Unable to load historical scan data