Security Scan Report: www.milano2023.it

Site favicon
Submitted: Nov 23, 2025, 11:48:46 AMCompleted: Nov 23, 2025, 11:51:46 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is milano2023.it and was registered NaN years ago.

Submitted URL: https://www.milano2023.it/

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain
No forms collecting sensitive data
No external links or redirects
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(60% confidence)

Category

documentation technical

(55%)

Domain Information

The domain name 'www.milano2023.it' uses the Italian country-code top-level domain (.it), featuring subdomain 'www'. The registrable portion 'milano2023' spans 10 characters containing three vowels alongside 3 consonants, along with four digits. Breaking it apart gives 2 words: milano, 2023. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.milano2023.it/

Page Load Overview

51.53s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:60%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:60%
Script Type:Latin
Text Length:160 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical55% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
55%
technology software
42%
healthcare medical
32%
news media journalism
27%
education learning
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
289.46.106.74Arezzo, Tuscany, Italy
AS31034Aruba S.p.A.
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12BD0236FA047511FACE3F5DD59DB9F1A44FCC1110C2004200490566C48F4DD58B036EC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxO963FTWtZPX1FHHLKs1r8uiFUez13NK:kxP3FTUneor8uSUez13NK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:281f3e0641f0447a91c316203bdb7344

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:0fdfffffffffffff
Perceptual Hash:97171717070f0f0f
Difference Hash:d810000000000000
Wavelet Hash:00d0c0c000000000
Color Hash:#9ad279

Other Hashes

Crop Resistant:d810000000000000

Scan History

Scan history not available

Unable to load historical scan data