Security Scan Report: www.comune.altivole.tv.it

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Submitted: Jan 4, 2026, 8:41:00 PMCompleted: Jan 4, 2026, 8:42:22 PMpubliccompleted
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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.altivole.tv.it.

Submitted URL: https://www.comune.altivole.tv.it/home

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security concerns and appears to be a legitimate municipal page.

Safety Factors
Official government domain structure
No suspicious redirects or hidden content
No forms collecting sensitive information
Domain age information unavailable

Details

Page Title

Regione Veneto

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(75%)

Domain Information

You're looking at domain 'www.comune.altivole.tv.it' on the Italian country-code top-level domain (.tv.it) with subdomain 'www.comune'. The registrable portion 'altivole' spans 8 characters split between four vowels and 4 consonants. Tokenizing the label suggests 3 words: alt, i, vole. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.altivole.tv.it/home

Page Load Overview

8.62s
Total Load Time
53
HTTP Requests
2
Domains
718 KB
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:8,164 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service75% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
75%
entertainment media
65%
blog personal website
52%
news media journalism
38%
adult content
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5318.102.176.96Milan, Lombardy, Italy
AS16509AMAZON-02
531--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15023D03A210A1E5E18E7F974C8F392C8CF6567CCA281C66CFCBCBDE6438F5264189815

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:0zvosTDkuoSTrurlwvmMcFjroSH3w4Evuy5+SQSTD4J3yuyBOAMiJHv6xH:0c6kgPk8RctroSH3VQQSAguniJP6xH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:49671:8UsDSCjoAAoAo4IRbYYBrJmoIgddUIZEBVnUijxCB0lQCUwQYo8IQyToAANOFAiTEyAVhBGM9eaRBpBQ0AEUBEALYtoQgxhx

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:0000f1fbf1f3ff81
Perceptual Hash:ee1413153b916ee9
Difference Hash:9c87232323670b0b
Wavelet Hash:0000f1f3f1f3ff81
Color Hash:#ae40bf

Scan History

Scan history not available

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