Security Scan Report: www.milano2023.it

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Submitted: Jan 18, 2026, 6:49:31 AMCompleted: Jan 18, 2026, 6:51:16 AMpubliccompleted
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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: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (>4 years old)
Absence of credential or payment collection forms
No malicious Indicators of Compromise
No external links or redirects
No evidence of brand impersonation
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(60% confidence)

Category

documentation technical

(55%)

Domain Information

The domain 'www.milano2023.it' uses the Italian country-code top-level domain (.it); it also runs on subdomain 'www'. The registrable portion 'milano2023' spans 10 characters holding 3 vowels versus 3 consonants, notching 4 digits. Tokenizing the label suggests 2 words: milano, 2023. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.96s
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--

Detected Technologies2

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:0fcfffffffffffff
Perceptual Hash:97171717070f0f0f
Difference Hash:d810000000000000
Wavelet Hash:00f0f0f0f0f0f0f0
Color Hash:#97c587

Other Hashes

Crop Resistant:d810000000000000

Scan History

Scan history not available

Unable to load historical scan data