Security Scan Report: www.apsp-pellizzano.it

Submitted: Jan 13, 2026, 6:17:49 PMCompleted: Jan 13, 2026, 6:19:36 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 61 HTTP transactions. The main domain is apsp-pellizzano.it and was registered NaN years ago.

Submitted URL: https://www.apsp-pellizzano.it/

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The site shows no security concerns and is likely a legitimate public service page.

Safety Factors
Established domain (>16 years old)
No credential or payment collection forms
No malicious Indicators of Compromise detected
Content appears to be a public service site
Domain age information unavailable

Details

Page Title

Azienda Pubblica di Servizi alla Persona "Dott. Antonio Bontempelli" di Pellizzano

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(91%)

Domain Information

Within the Italian country-code top-level domain (.it), 'www.apsp-pellizzano.it' is registered and includes subdomain 'www'. Count 15 characters in 'apsp-pellizzano' holding five vowels versus 9 consonants; bonus characters include 1 hyphen. Word splitting yields six words: a, psp, pell, izz, a, no. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.apsp-pellizzano.it/

Page Load Overview

103.53s
Total Load Time
61
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:3,458 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service91% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
91%
adult content
68%
phishing scam
56%
real estate property
49%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2163.35.34.67Dublin, Leinster, Ireland
AS16509AMAZON-02
2035.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
203.5.64.244Dublin, Leinster, Ireland
AS16509AMAZON-02
03--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F4931B31A8941127836395FCF5BE7308F3916154E982896897FC56980ACBFD4EE23F4E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:BkTF2dRRaS9s/moXX+ghRROf/gdXrTt+VZqoTv:BkZ2XoS9s/wWW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:90988:iamjAWeAsmUVAmy2BwAhYgAmADjSAQQEckIB4YTAqGoiIAECKaaBAsgEwIAQwKeISgFccngG4BMTTwPOACNPKgTYTA8AZsQI

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:ff81c18383c3c3c3
Perceptual Hash:ecc390c29ce0ebe9
Difference Hash:3c130b2323071626
Wavelet Hash:ff81c1c383c3c3c3
Color Hash:#862d30

Scan History

Scan history not available

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