Security Scan Report: shop.matteobocelli.it

Submitted: Nov 26, 2025, 1:40:08 PMCompleted: Nov 26, 2025, 1:42:03 PMpubliccompleted
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Summary

This website contacted 53 IPs in 4 countries across 15 domains to perform 106 HTTP transactions. The main domain is shop.matteobocelli.it and was registered NaN years ago.

Submitted URL: https://shop.matteobocelli.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no suspicious activity and appears to be a legitimate official store.

Safety Factors
Long‑standing domain registration
Official‑looking store branding for Matteo Bocelli
Absence of login or payment fields
Domain age information unavailable

Details

Page Title

Matteo Bocelli Official Store - Matteo Bocelli Official Store

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(57%)

Domain Information

Within the Italian country-code top-level domain (.it), 'shop.matteobocelli.it' is registered; it also runs on subdomain 'shop'. Count 13 characters in 'matteobocelli' split between six vowels and seven consonants. Splitting it apart reveals three words: matteo, b, ocelli. Median word length comes out to six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://shop.matteobocelli.it/

Page Load Overview

1.27s
Total Load Time
106
HTTP Requests
15
Domains
2.4 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:1,295 chars
Detector Agreement:60%

Website Classification

Primary Category

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

All Detected Categories

e-commerce shopping
57%
entertainment media
47%
technology software
26%
corporate
25%

Detected Features

Products
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6823.227.38.74Ottawa, Ontario, Canada
AS13335CLOUDFLARENET
6104.20.38.216United States
AS13335CLOUDFLARENET
434.236.95.93Ashburn, Virginia, United States
AS14618AMAZON-AES
4172.217.18.8United States
AS15169GOOGLE
3184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
223.227.39.200Ottawa, Ontario, Canada
AS13335CLOUDFLARENET
2172.64.147.18United States
AS13335CLOUDFLARENET
234.200.60.14Ashburn, Virginia, United States
AS14618AMAZON-AES
252.222.236.75United States
AS16509AMAZON-02
252.222.236.72United States
AS16509AMAZON-02
10653--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T161E3F840E422B0BA186351BB72A2E65E7760AB07E776DD85F6DDC7200FC6F925C2305E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:rT4w3GLiQRtuJrckXq8JId2h0w2Hvh47mYCv+7mUET9TGQVVlSU2Tl:P4w3GLiHl5p

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:156712:cGSAaIQpDABUyIdCgNYCBAihCgIeEgYBAAkHjAISTIATABETQjiSrYFkCNU0gAkQAhJAmegpBMJIAFFINwowIJAKBQQ9NQAx

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:0000151f1fbfffff
Perceptual Hash:be0c631c6ac43f9c
Difference Hash:a3b1353535719649
Wavelet Hash:0000001f1f9fffff
Color Hash:#798cd2

Scan History

Scan history not available

Unable to load historical scan data