Security Scan Report: comune.gonnosno.or.it

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Submitted: Jan 11, 2026, 12:29:33 AMCompleted: Jan 11, 2026, 12:31:05 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 49 HTTP transactions. The main domain is comune.gonnosno.or.it.

Submitted URL: https://comune.gonnosno.or.it/

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Legitimate municipal website with no apparent security threats.

Safety Factors
Content aligns with legitimate municipal services and announcements
No password, email, or payment fields present
No external links to suspicious domains
Domain age information unavailable

Details

Page Title

Comune di Gonnosnò - Sito Istituzionale

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(52%)

Domain Information

The domain name 'comune.gonnosno.or.it' uses the Italian country-code top-level domain (.or.it) with subdomain 'comune'. The core label 'gonnosno' covers 8 characters with three vowels and 5 consonants. It segments into three words: gon, nos, no. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://comune.gonnosno.or.it/

Page Load Overview

10.84s
Total Load Time
42
HTTP Requests
2
Domains
1.5 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:7,715 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service52% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
52%
education learning
45%
documentation technical
38%
news media journalism
34%
healthcare medical
32%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2135.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
2151.38.226.89France
AS16276OVH SAS
422--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T150D342E206F9903B11AA51DC79186F09EF96E807D9961658B3FE078C5FEADD0CB43708

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:8BlP+pbgOTxVM+i7yh1Ds5Hi1o/MxgK4g4811ka0Bf458/:8BbX811ka0d4y/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:136200:oLUhp5oJjRRAggHCIADCHFBGYHAzCwKUkOGcJuNAgG2bdAT5HQGQdBdEIQgWnQIGBACDUJCQTUArQ0YxExJ1pAADhEEgjjgK

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:ec6611116eb1b9e6
Difference Hash:dcc7232767971c23
Wavelet Hash:000091f1f1dfdfd9
Color Hash:#93311f

Scan History

Scan history not available

Unable to load historical scan data