Security Scan Report: www.comune.villanovabiellese.bi.it

Submitted: Jan 22, 2026, 2:53:20 AMCompleted: Jan 22, 2026, 2:54:30 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is comune.villanovabiellese.bi.it.

Submitted URL: https://www.comune.villanovabiellese.bi.it/it-it/home

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

Legitimate municipal site; no security issues identified

Safety Factors
Official municipal domain structure (comune.villanovabiellese.bi.it)
No suspicious forms or data collection
Unranked status not combined with other threats
Domain age information unavailable

Details

Page Title

www.comune.villanovabiellese.bi.it

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(98%)

Domain Information

You're looking at domain 'www.comune.villanovabiellese.bi.it' on the Italian country-code top-level domain (.bi.it), featuring subdomain 'www.comune'. Count 17 characters in 'villanovabiellese' with 8 vowels and 9 consonants. Splitting it apart reveals two words: villanova, biellese. The median word length lands at 8.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.villanovabiellese.bi.it/it-it/home

Page Load Overview

2.07s
Total Load Time
49
HTTP Requests
2
Domains
1.6 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:8,555 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service98% confidence
Type: webapp
Method: ml+structural

All Detected Categories

government public service
98%
documentation technical
83%
government
40%
education learning
30%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
49151.11.50.116Florence, Tuscany, Italy
AS24994genesys informatica srl
491--

Detected Technologies4

JQueryv3.6.0
100%
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T129048F77329A063D86558498E05B4309AF20B143F506C9BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ofQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz82bMy8Old/:jhoC9JSqzzbs6o3Sj3gcrs42eAJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187296:A8ErCb0sFjQwEhIRuIcC0WgARAEFAiCAIwJtCIzLGDQOAARFUFtYHYIIUTZBKAaDwDgAAZo4ByQDcxQKWQgkQCQAY0ANhYLZ

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339accccb33364
Difference Hash:00181c1616000000
Wavelet Hash:3c1c0004c0fcfcfc
Color Hash:#bc87c5

Other Hashes

Crop Resistant:00181c1616000000

Scan History

Scan history not available

Unable to load historical scan data