Security Scan Report: www.comune.gorno.bg.it

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Submitted: Dec 7, 2025, 1:02:54 PMCompleted: Dec 7, 2025, 1:05:05 PMpubliccompleted
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Summary

This website contacted 43 IPs in 4 countries across 8 domains to perform 209 HTTP transactions. The main domain is comune.gorno.bg.it.

Submitted URL: https://www.comune.gorno.bg.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

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

Safety Factors
Official government domain (comune.gorno.bg.it)
No suspicious forms or data collection
No known malicious activity associated with the site
Domain age information unavailable

Details

Page Title

Home

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

technology software

(96%)

Domain Information

The domain name 'www.comune.gorno.bg.it' uses the Italian country-code top-level domain (.bg.it), featuring subdomain 'www.comune'. Its registrable label 'gorno' stretches across 5 characters with 2 vowels and 3 consonants. Word splitting yields two words: gor, no. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.gorno.bg.it/

Page Load Overview

2.17s
Total Load Time
209
HTTP Requests
8
Domains
9.1 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:23,819 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software96% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
96%
government public service
95%
documentation technical
84%
education learning
84%
adult content
73%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18280.88.87.92Arezzo, Tuscany, Italy
AS31034Aruba S.p.A.
12104.17.243.234United States
AS13335CLOUDFLARENET
4104.17.242.234United States
AS13335CLOUDFLARENET
4216.58.206.42United States
AS15169GOOGLE
4104.16.79.73United States
AS13335CLOUDFLARENET
4142.250.185.138United States
AS15169GOOGLE
4142.250.185.74United States
AS15169GOOGLE
42a00:1450:4001:82a::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
42a00:1450:4001:82b::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
42a00:1450:4001:82a::200eFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
20943--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C5D3F920D69D1C5B822B05C4F460FB8DB1AF4AB9F9478D50F7FB5792DB8AD90912018F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jtySN/shGSdODedcwN8NZk4aM5YU9NfeTw4ylNWC+wpc8NZk4aM+YU9NfeTw4yl+:pyglZU0MT8NMwe0TT8in

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:135911:LxQGkI0eAl5YkskATEEDAQZAZECDHBiCgICKDwwaRiAnEoiVIRfACQgEAVAjRUNzgE0AxCgAFhwpGCATFQa4oCCTAdgiBhIM

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:ffff03000000ffff
Perceptual Hash:a58cfb56d6132139
Difference Hash:2cab9b7635d51b1b
Wavelet Hash:ffff01000000efff
Color Hash:#40bf80

Scan History

Scan history not available

Unable to load historical scan data