Security Scan Report: www.comune.crespinalorenzana.pi.it

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Submitted: Dec 29, 2025, 12:19:21 AMCompleted: Dec 29, 2025, 12:21:59 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 3 domains to perform 117 HTTP transactions. The main domain is comune.crespinalorenzana.pi.it.

Submitted URL: https://www.comune.crespinalorenzana.pi.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

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

Safety Factors
Official municipal domain (comune.crespinalorenzana.pi.it)
No credential‑harvesting or payment collection forms
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Homepage | Comune di Crespina Lorenzana

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(68%)

Domain Information

Domain 'www.comune.crespinalorenzana.pi.it' uses the Italian country-code top-level domain (.pi.it), featuring subdomain 'www.comune'. Its registrable label 'crespinalorenzana' stretches across 17 characters with seven vowels and 10 consonants. Word splitting yields five words: crespi, na, lorenz, an, a. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.crespinalorenzana.pi.it/

Page Load Overview

78.09s
Total Load Time
117
HTTP Requests
0
Domains
N/A
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:9,866 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service68% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
68%
real estate property
46%
adult content
38%
documentation technical
32%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11594.177.182.220Italy
AS31034Aruba S.p.A.
2172.67.142.245UnknownUnknown
02--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E404B67543FC567D044783E9AF31BAA6A60ED9B7E0974194F2BE87804BD3DC0E80B919

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:v2uXmLIx1WfxsrgQGWmjxWIsYe8SMhUIDvXvFluzBwNCU0ugb5tNbGpeR3tvY1cD:ZXmpOrgQGWouT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:175660:wAwCABGkaRVZIw4QJZIACKVVzZmEHAEeqCgAIBChGjgPGICfEDDhNEBCEABQEGDJLAsAFiAkBAiRBJAg4NMjkkeMoEpkABBq

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:0000fff7f3ffffc3
Perceptual Hash:ec433043649ee9cf
Difference Hash:848e232723033e16
Wavelet Hash:0000f1b3f1f3ff83
Color Hash:#2d8670

Scan History

Scan history not available

Unable to load historical scan data