Security Scan Report: www.apspsuoragnese.it

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Submitted: Jun 13, 2026, 5:07:49 AMCompleted: Jun 13, 2026, 5:08:58 AMpubliccompleted
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Summary

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

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site appears legitimate with no phishing, malware, or scam indicators.

Safety Factors
Established domain age
Self‑branding matches the domain
Absence of credential collection forms
No malicious indicators (IoC, YARA, IDS)
Standard hosting without suspicious external services
Domain age information unavailable

Details

Page Title

A.P.S.P. Suor Agnese

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

healthcare medical

(61%)

Domain Information

The domain name 'www.apspsuoragnese.it' uses the Italian country-code top-level domain (.it) with subdomain 'www'. Count 14 characters in 'apspsuoragnese' split between six vowels and 8 consonants. Splitting it apart reveals 5 words: aps, psu, or, agnes, e. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.41s
Total Load Time
48
HTTP Requests
2
Domains
507 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
Text Length:5,395 chars
Detector Agreement:80%

Website Classification

Primary Category

healthcare medical61% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
61%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2452.16.26.160Dublin, Leinster, Ireland
AS16509Amazon.com, Inc.
243.5.72.121Dublin, Leinster, Ireland
AS16509Amazon.com, Inc.
482--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AC73FA319CA81126476395FCF57FB308F691A054E881991897FCA7885ACBFC4ED23B4E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:+kTF21JQH0lVk7ywsFvRoBES9sQqfghRRsuV9xw/Zpfds4p4rCqeQ7YmIYoTv:+kTF21RkGS9sQqfghRRsMurhAZoTv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:76661:kAIQkHBJEMAIgUgCyniEkouG5gkrTCSQCDWiTbqwKgAkl0QAkBJcjgKsUAgBABwBgNEZMlPciYglAGDhmrCAk0KhARXhADAV

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:ff8181c3c3c3c3c3
Perceptual Hash:bdcb8096c0e4bb2d
Difference Hash:202b2b23171f1696
Wavelet Hash:ff8183c383c3c3c3
Color Hash:#53ac77

Scan History

Scan history not available

Unable to load historical scan data