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

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Submitted: Jan 18, 2026, 1:37:43 PMCompleted: Jan 18, 2026, 1:38:59 PMpubliccompleted
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Summary

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

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

AI Security Verdict

Moderate Risk

Confidence: 80%

5
Risk Score

Site appears legitimate but unknown domain age warrants caution; verify through official channels.

Risk Factors
Domain age unknown
Safety Factors
Official municipal branding matches domain
No forms collecting sensitive data
HTTPS connection
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Comune di Vialfrè

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government

(40%)

Domain Information

The domain 'www.comune.vialfre.to.it' uses the Italian country-code top-level domain (.to.it) and includes subdomain 'www.comune'. The registrable portion 'vialfre' spans 7 characters with three vowels and four consonants. Breaking it apart gives 3 words: vial, f, re. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.13s
Total Load Time
30
HTTP Requests
1
Domains
2.4 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:5,312 chars
Detector Agreement:100%

Website Classification

Primary Category

government40% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government
40%
documentation technical
38%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
30151.11.50.116Florence, Tuscany, Italy
AS24994genesys informatica srl
301--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DBA384206AF1207701A382EA77B99B0AAFD5E94BD5861115B6FD07844FFBC81DB0770E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:O1BDTzARVsDveX9hfFDgyo5HNy32E7Z0W3xjU5OuNENiNGNSNmNLNqmxIl:2zi9hfFsyopc328LhgHi8QogNLNqmxIl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:102038:6nAgIgGEUGIyoOjEog5KAgBjmEgDKEnAyi8HFyuDQDIQbAghuATibEAPcCAhJKAAgWSKpuSDAJXBSlAACaHAYEDRjEEdlASA

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:a83157e700b0df57
Difference Hash:c4ccb8b7a7022371
Wavelet Hash:0000ff5f7fff9100
Color Hash:#53ac6b

Scan History

Scan history not available

Unable to load historical scan data