Security Scan Report: www.aspbeatalucia.it

Site favicon
Submitted: Jan 17, 2026, 9:51:47 PMCompleted: Jan 17, 2026, 9:53:09 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 39 HTTP transactions. The main domain is aspbeatalucia.it and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Well‑established domain (>4 years old)
No forms collecting sensitive data
Public service organization content
No malicious Indicators of Compromise matches
Domain age information unavailable

Details

Page Title

ASP Beata Lucia - Home

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(86%)

Domain Information

You're looking at domain 'www.aspbeatalucia.it' on the Italian country-code top-level domain (.it) with subdomain 'www'. Count 13 characters in 'aspbeatalucia' containing seven vowels alongside 6 consonants. Segmentation suggests three words: asp, beata, lucia. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

5.70s
Total Load Time
60
HTTP Requests
1
Domains
5.9 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:3,169 chars
Detector Agreement:80%

Website Classification

Primary Category

government public service86% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
86%
corporate business
34%
healthcare medical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
60213.171.166.165Frosinone, Lazio, Italy
AS12637SEEWEB s.r.l.
601--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10C73E72749E4301B024742C8B1A07B4CBDD7AA37D9860C51B2FD0FA66FD7DE8694728E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:0h/wZX4M7iki8DFuf77OGozp9z96jb8a/jXQaH4eaBaTVNPSoZ+uBpuCwhMbDFuf:0hgX1eZh7OGJj3/jnHpehL7OGV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:76175:Kowwgo5IFmIOJAAGVQYXAEAMJGCWUUJQCg6SKluCAIIkBFrWAISRighQCHAgAFTAEMBjkUlCMVQYcaQZ0C6EDEgABqhELBQC

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:0000ffffffc3ffff
Perceptual Hash:af424138d6e7ec94
Difference Hash:c65767673717572b
Wavelet Hash:0000f383ff81ebfb
Color Hash:#95d279

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data