Security Scan Report: www.comune.vialfre.to.it

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Submitted: Oct 5, 2025, 12:09:51 AMCompleted: Oct 5, 2025, 12:10:12 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 44 HTTP transactions. The main domain is comune.vialfre.to.it.

Submitted URL: https://www.comune.vialfre.to.it/it-it/home

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site appears to be a legitimate municipal website with no malicious indicators.

Safety Factors
No malicious Indicators of Compromise detected
No credential‑harvesting or payment collection forms
Official‑looking branding and contact details
Meta description explicitly states the site is the official municipal site
Domain age information unavailable

Details

Page Title

Comune di Vialfrè

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Domain Information

Within the Italian country-code top-level domain (.to.it), 'www.comune.vialfre.to.it' is registered, featuring subdomain 'www.comune'. The second-level label 'vialfre' is 7 characters long split between three vowels and 4 consonants. Segmentation suggests 3 words: vial, f, re. Median word length is 2 characters. 'vial' most strongly signals English. You may catch it in Chinese (Pinyin) and Spanish as well.

Screenshot

Security scan screenshot of https://www.comune.vialfre.to.it/it-it/home

Page Load Overview

1.89s
Total Load Time
44
HTTP Requests
1
Domains
2.0 MB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:it
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:it
Text Length:5,282 chars
Detector Agreement:100%

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
44151.11.50.116Florence, Tuscany, Italy
AS24994genesys informatica srl
441--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ACA3742056F1207701A382EA77A99B0AAFD5EA4BD5861115B7FE07C44FFBC81DB0361E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jzJ9hfFrbFD7Bpj29K0wPsN/i8QogNLNqTqx:ThfNbF8M

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:104692:a2LQAbHAASgoLrAAgUsCnAQFJFgEKqEgkaOVEgBg0URFyIAEIABMktDgYEgADK5SW0oP6FkCo9fOKACCoSMwRFxkAQASBOwt

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:0000ff5ffffff300
Perceptual Hash:ac1257ef00b0df93
Difference Hash:c4ccb8b7a3062771
Wavelet Hash:0000ff5f7fff9100
Color Hash:#b5e06c

Scan History

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