Summary
This website contacted 2 IPs in 1 country across 2 domains to perform 2 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: 78%
The site shows no malicious indicators, has an old established domain, and contains no credential or payment forms, indicating a legitimate public‑service website.
Safety Factors
Details
Page Title
A.P.S.P. Padre Odone Nicolini
Scan Type
public
Language
Italian
Category
government public service
(73%)Domain Information
Within the Italian country-code top-level domain (.it), 'www.apsppievedibono.it' is registered and includes subdomain 'www'. The core label 'apsppievedibono' covers 15 characters split between 7 vowels and eight consonants. Tokenizing the label suggests five words: a, psp, pieve, di, bono. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 27 | 52.92.4.80 | Dublin, Leinster, Ireland | AS16509Amazon.com, Inc. |
| 27 | 99.81.166.128 | Dublin, Leinster, Ireland | AS16509Amazon.com, Inc. |
| 54 | 2 | - | - |
Detected Technologies9
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data