Security Scan Report: www.opilucca.it

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Submitted: Completed: publiccompleted
This website contacted 3 IPs in 1 country across 2 domains to perform 38 HTTP transactions. The main domain is opilucca.it and was registered 7 years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no detectable security threats.

Safety Factors (4)
Established domain age
No malicious Indicators of Compromise
Absence of credential or payment collection forms
Official institutional branding (Ordine delle Professioni Infermieristiche di Lucca)
Domain age information unavailable

Details

Page Title

Ordine delle Professioni Infermieristiche di Lucca - Sito istituzionale

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.opilucca.it' on the Italian country-code top-level domain (.it), featuring subdomain 'www'. Its registrable label 'opilucca' stretches across 8 characters containing 4 vowels alongside four consonants. Tokenizing the label suggests two words: opi, lucca. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

18.57s
Total Load Time
1.1 MB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:it
Text Length:4,117 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
healthcare medical
34%
government public service
31%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1435.152.40.99Milan, Lombardy, Italy
AS16509AMAZON-02
1235.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
1289.46.108.29Arezzo, Tuscany, Italy
AS31034Aruba S.p.A.
383--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T158D31A35C1A8963E145BC3EDA571F329A09EE36BD4C342A4B2FE839447D6DE4F05E284

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:zL9E66V1ab6QCuQYSMhne8/Itl3wNCKuePtNLu8Cr+C9DkaGXgdIqrYG:tE6V3v5Cr+C9DkaGXgdIqrj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:140979:2yTT6BkBgip1CEQHOgFLShYgDQIyAOADwDAAUQgCCCAghiHIoKMDTur2LUc8JEAWAjEgBYCQcrZhZkEjAKRUrBDYDjACkpwk

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:00000000feffffff
Perceptual Hash:cf4134bc744b8b72
Difference Hash:c4c1c150146a2b0e
Wavelet Hash:00000000ffffffff
Color Hash:#79d297

Scan History

Scan history not available

Unable to load historical scan data