Security Scan Report: comune.sanbasilio.su.it

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Submitted: Oct 19, 2025, 7:27:54 PMCompleted: Oct 19, 2025, 7:28:31 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 2 domains to perform 60 HTTP transactions. The main domain is comune.sanbasilio.su.it.

Submitted URL: https://comune.sanbasilio.su.it/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate municipal website with no apparent security threats.

Safety Factors
Official municipal branding and language
Standard website features (search, contact, event listings)
No suspicious external links or redirects
Domain age information unavailable

Details

Page Title

Home page | Comune di San Basilio

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(78%)

Domain Information

The domain name 'comune.sanbasilio.su.it' uses the Italian country-code top-level domain (.it); it also runs on subdomain 'comune.sanbasilio'. The core label 'su' covers 2 characters containing 1 vowel alongside 1 consonant. Tokenizing the label suggests one word: su. 'su' is most common in Lithuanian usage. It also appears in Bosnian and Croatian contexts.

Screenshot

Security scan screenshot of https://comune.sanbasilio.su.it/

Page Load Overview

14.42s
Total Load Time
60
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
Text Length:8,090 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service78% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
78%
healthcare medical
33%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2089.31.72.32Italy
AS24994genesys informatica srl
2035.152.40.99Milan, Lombardy, Italy
AS16509AMAZON-02
2035.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
603--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14554D7506298203C116349BAA1687BEFBA7E9D32D35725B6F2EF3648C7C9DD20D2354C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:0UMSCTrIIODF04DDF04ldvqZvwbpJ3+oG36Y4kcE4idNQ5dmEQOE:7qI8x6wbOE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:291320:WsEVGQCiA5DAJEAsoRQo/SA7BIBEFQLYQGG1eABkQhECwYmoFTszQgMCOUJnANDE8AgUQISSirACKhIARgMgi0WQWCkAYHIB

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:0000ffffffff8381
Perceptual Hash:e84235426c3ec9ef
Difference Hash:ccc3232363232f23
Wavelet Hash:0000fdfbfff98181
Color Hash:#2d8646

Scan History

Scan history not available

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