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

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Submitted: Jan 11, 2026, 1:04:08 PMCompleted: Jan 11, 2026, 1:05:52 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 41 HTTP transactions. The main domain is comune.gorgoalmonticano.tv.it.

Submitted URL: https://www.comune.gorgoalmonticano.tv.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no suspicious activity and appears to be a legitimate municipal website.

Safety Factors
Official municipal domain (comune.gorgoalmonticano.tv.it)
Public administration content in Italian
Domain age information unavailable

Details

Page Title

Comune di Gorgo al Monticano

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(76%)

Domain Information

The domain 'www.comune.gorgoalmonticano.tv.it' uses the Italian country-code top-level domain (.tv.it), featuring subdomain 'www.comune'. The registrable portion 'gorgoalmonticano' spans 16 characters holding seven vowels versus nine consonants. Splitting it apart reveals 5 words: gorgo, alm, on, tica, no. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

23.43s
Total Load Time
41
HTTP Requests
2
Domains
1.2 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-IT
Text Length:5,359 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service76% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
76%
adult content
36%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2135.152.40.99Italy
2093.56.55.243Milan, Lombardy, Italy
AS12874Fastweb
412--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FCE3D77683F8D17E4596C3E8AB70BB16A94A819BD5D74198B2BCCBC40FE3CC1A50794C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:3vIg8eV1ab6QCuQYSMhne8/Itl3wNCiPtNLu7uWmVpfEppH7CgT:k3NiN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:150161:BZqI3AAAyAUgZbOF9ECsnLhQhUABIAAJkNpQ0AhQ4YJkujHQGRDNUhiQGFYFh6E0AIMFJGD1BWIUkTkBBB4JYAImqmGBWNkz

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:0000f1f9f1ffffff
Perceptual Hash:ee651152699ae4ec
Difference Hash:ccc7272363257956
Wavelet Hash:000091f1f1f1bdff
Color Hash:#862d84

Scan History

Scan history not available

Unable to load historical scan data