Security Scan Report: www.aspbeatalucia.it

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Submitted: Oct 7, 2025, 6:37:44 AMCompleted: Oct 7, 2025, 6:38:10 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 55 HTTP transactions. The main domain is aspbeatalucia.it.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Public sector website
Standard informational content
No suspicious external links or redirects
Domain age information unavailable

Details

Page Title

ASP Beata Lucia - Home

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(89%)

Domain Information

The domain 'www.aspbeatalucia.it' uses the Italian country-code top-level domain (.it); it also runs on subdomain 'www'. The core label 'aspbeatalucia' covers 13 characters containing 7 vowels alongside six consonants. Segmentation suggests three words: asp, beata, lucia. Median word length is 5 characters. Most frequently, 'asp' shows up in Italian. Secondary signals appear in Portuguese (Brazil) and Portuguese. Net impression: Italian phrase.

Screenshot

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

Page Load Overview

5.31s
Total Load Time
55
HTTP Requests
1
Domains
4.8 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:2,919 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service89% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
89%
corporate business
34%
healthcare medical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
55213.171.166.165Frosinone, Lazio, Italy
AS12637SEEWEB s.r.l.
551--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F173D62709E5301B024742C8B1A07B4CBDD7AA37D9860D51B2FD0FA66FD7DE86D4728A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:Ah/wZX457ikiKDFuf77OGozp9k96jb8a/jXQaneaBaTVNPS9Z+uBpuCKhMbDFufH:AhgXYeZL7OGwj3/jnbghL7OGV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:75862:8jgAogkshUQEcAcEKAiKQUDIODQXAgBBBCFmAQoGSECIAIEBAwBYOCCIAQfGgZEwNebMMQoIgMBxImQQeAMBCWRoiEAQEIGQ

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:#4d2d86

Other Hashes

Scan History

Scan history not available

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