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

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Submitted: Dec 21, 2025, 5:57:52 AMCompleted: Dec 21, 2025, 5:58:18 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 39 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

Legitimate municipal website with no security concerns.

Safety Factors
Official municipal domain (comune.gorgoalmonticano.tv.it)
No suspicious forms or hidden fields
No phishing or malware indicators
Domain age information unavailable

Details

Page Title

Comune di Gorgo al Monticano

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(66%)

Domain Information

The domain 'www.comune.gorgoalmonticano.tv.it' uses the Italian country-code top-level domain (.tv.it) with subdomain 'www.comune'. Count 16 characters in 'gorgoalmonticano' holding 7 vowels versus 9 consonants. Word splitting yields 5 words: gorgo, alm, on, tica, no. Median word length is 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

5.96s
Total Load Time
39
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:5,322 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service66% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
66%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1935.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
1993.56.55.243Milan, Lombardy, Italy
AS12874Fastweb
392--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T144E3D77683F8D17E4596C7E8AB70BB16AD4A818BD4C74198B2ACCBC40FE3DD1A50794C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:LvIg8eV1ab6QCuQYSMhne8/Itl3wNCiPtNLu7uWmVpfEppH7CgT:g3NeN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:146186:XCDwMC60NgIRAJBCYjGFAAGBAu9ABACYTghBCBRCIYFQ0KMCsMBooWhSiADUCICikXEoEQQI8rxI4yFMaEkkIEGgRcTiGAAY

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:0000f1f1f1ffffff
Perceptual Hash:ee6e11136b98a4ec
Difference Hash:ccc72723630751d6
Wavelet Hash:000091f1f1d1fbff
Color Hash:#53ac57

Scan History

Scan history not available

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