Security Scan Report: comune.gonnosno.or.it

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Submitted: Nov 22, 2025, 6:39:15 PMCompleted: Nov 22, 2025, 6:40:07 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 2 domains to perform 94 HTTP transactions. The main domain is comune.gonnosno.or.it.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

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

Safety Factors
Official municipal domain
No credential or payment collection
No suspicious brand impersonation
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Comune di Gonnosnò - Sito Istituzionale

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(55%)

Domain Information

The domain 'comune.gonnosno.or.it' uses the Italian country-code top-level domain (.or.it); it also runs on subdomain 'comune'. The registrable portion 'gonnosno' spans 8 characters containing 3 vowels alongside 5 consonants. Splitting it apart reveals 3 words: gon, nos, no. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.54s
Total Load Time
94
HTTP Requests
2
Domains
2.2 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:8,617 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service55% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
55%
forum community discussion
50%
cryptocurrency blockchain
45%
education learning
45%
documentation technical
44%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8951.38.226.89France
AS16276OVH SAS
3135.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
235.152.40.99Milan, Lombardy, Italy
AS16509AMAZON-02
943--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13FA385F30298903B126A16CC7A1DAB08FA97A815D9931655F3FE478C5BEDDD0CB43B09

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:/jj1AgDncA/8M0806AYzXJpuMlVYgJJHK1/0741inCDOya3Hel0Z8dAGSgAb03VA:/jpAzA/8M0806Phb03V3vOvU8D7zj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:105225:sMAVhMIEGSA4NZALO6DLEcDwG4QnA6Sh4sQAAqGLMAcJgEUQpbCQgBVkGCoaF0IipAKRgAIotFCBLQiECyIAsGoAF1ZWlxOC

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:0000f7f3ffffffff
Perceptual Hash:ac661b1966e4bcc3
Difference Hash:c4ca2626669a962c
Wavelet Hash:00009393f3dfdf87
Color Hash:#78753a

Scan History

Scan history not available

Unable to load historical scan data