Security Scan Report: piccolospedale.it

Submitted: Oct 18, 2025, 6:16:47 AMCompleted: Oct 18, 2025, 6:17:45 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 55 HTTP transactions. The main domain is piccolospedale.it and was registered NaN years ago.

Submitted URL: https://piccolospedale.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Well-established public organization
Clear contact information and physical address
Content consistent with a legitimate healthcare provider
Domain age information unavailable

Details

Page Title

APSP Pieve Piccolo Spedale – Residenza Sanitaria Residenziale

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

documentation technical

(42%)

Domain Information

Domain 'piccolospedale.it' uses the Italian country-code top-level domain (.it) while skipping any subdomain. The second-level label 'piccolospedale' is 14 characters long containing six vowels alongside eight consonants. Segmentation suggests three words: piccolos, pedal, e. Median word length comes out to five characters. The linguistic tilt is Italian for 'piccolo'. Secondary signals appear in Albanian and Portuguese.

Screenshot

Security scan screenshot of https://piccolospedale.it/

Page Load Overview

28.59s
Total Load Time
55
HTTP Requests
2
Domains
966 KB
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:8,429 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical42% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
42%
news/blog
20%

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2880.88.84.27Arezzo, Tuscany, Italy
AS31034Aruba S.p.A.
2735.214.241.203Groningen, Groningen, Netherlands
AS15169GOOGLE
552--

Detected Technologies7

WordPressv6.8.3
100%
JQueryv3.7.1
100%
50%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E4341971A2D0343A227B93ACF129FB1CB5665403DA4E16E6B1FE425C5FC8F9218B214F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:bnnOFw3LJifqapcKNkVAKkTn114wqi0nq+6SMvDgbRT1aKWiYKHocEEt2OyU7AZJ:bnoTKKNkVAKkKlVdFbMJ/e3bo3GjH0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:231164:o3oqCAUgDAcOIQG6IhaoiQgSAZhMETnCACYiYlkBB4O0C5wgaAAk0QBhyuBQCwiCYIgwkQgGJOK1dCQJIBgGEEYDPEcoVAMd

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:2000010064ffffff
Perceptual Hash:a120c5d317bdbcb2
Difference Hash:c6c7a75fcd102898
Wavelet Hash:2020010067ffffff
Color Hash:#2d8646

Scan History

Scan history not available

Unable to load historical scan data