Summary
This website contacted 3 IPs in 2 countries across 2 domains to perform 32 HTTP transactions. The main domain is aziendamillefiori.it.
Submitted URL: https://www.aziendamillefiori.it/
AI Security Verdict
Safe Website
Confidence: 80%
Site shows no security threats and appears to be a legitimate public service page.
Safety Factors
Details
Page Title
Azienda Speciale I Millefiori
Scan Type
public
Language
Italian
Category
government public service
(27%)Domain Information
The domain name 'www.aziendamillefiori.it' uses the Italian country-code top-level domain (.it); it also runs on subdomain 'www'. Count 17 characters in 'aziendamillefiori' containing nine vowels alongside 8 consonants. It segments into 6 words: a, zi, end, a, mille, fiori. Median word length comes out to 2.5 characters. The linguistic tilt is Hungarian for 'a'. You will also see it in Portuguese and Galician contexts.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 12 | 35.152.38.193 | Milan, Lombardy, Italy | AS16509AMAZON-02 |
| 10 | 138.201.234.186 | Nuremberg, Bavaria, Germany | AS24940Hetzner Online GmbH |
| 10 | 35.152.40.99 | Milan, Lombardy, Italy | AS16509AMAZON-02 |
| 32 | 3 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Scan History
Scan history not available
Unable to load historical scan data