Security Scan Report: www.apsppievedibono.it

Submitted: Jan 21, 2026, 9:24:03 AMCompleted: Jan 21, 2026, 9:25:15 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 60 HTTP transactions. The main domain is apsppievedibono.it and was registered NaN years ago.

Submitted URL: https://www.apsppievedibono.it/

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Well‑established domain (>15 years old)
No credential‑harvesting or payment forms
No malicious Indicators of Compromise detected
Standard hosting environment
Domain age information unavailable

Details

Page Title

A.P.S.P. Padre Odone Nicolini

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(81%)

Domain Information

The domain 'www.apsppievedibono.it' uses the Italian country-code top-level domain (.it) and includes subdomain 'www'. The second-level label 'apsppievedibono' is 15 characters long split between 7 vowels and eight consonants. Word splitting yields 5 words: a, psp, pieve, di, bono. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.apsppievedibono.it/

Page Load Overview

3.44s
Total Load Time
54
HTTP Requests
2
Domains
1.7 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:5,954 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service81% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
81%
education learning
78%
adult content
51%
healthcare medical
26%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
273.5.66.53Dublin, Leinster, Ireland
AS16509AMAZON-02
2763.35.34.67Dublin, Leinster, Ireland
AS16509AMAZON-02
542--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C683F8309994113B476395FCF67F7304F7A26164E881992487FC9B881ACBFC5AE2274E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:WkTF2DRkWS9s7kghRR4Hg2wSB0Cc5ZoTv:WkZ2NtS9sQ0CJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:86514:OtGCDkS4CMwIEB4J4RkQBHABG3OAIYFUABFhFQ5BQAwYBAWlAEuRSkBB0iyMLgAhQAELVCYA43CjAVwo8hGIWCA8FIITIgig

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:ff8183c3c3c3c3c3
Perceptual Hash:accb929ac2e4bd25
Difference Hash:2033232333371616
Wavelet Hash:ff8183c383c3c3c3
Color Hash:#611f93

Scan History

Scan history not available

Unable to load historical scan data