Security Scan Report: www.parcocirceo.it

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Submitted: Oct 17, 2025, 11:48:40 PMCompleted: Oct 17, 2025, 11:49:48 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 2 domains to perform 50 HTTP transactions. The main domain is parcocirceo.it and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no detected security concerns.

Safety Factors
Well‑established domain (over 24 years old)
No malicious Indicators of Compromise
No credential or payment collection forms
Standard hosting environment
No suspicious external links or content
Domain age information unavailable

Details

Page Title

Parco Nazionale del Circeo

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

education learning

(81%)

Domain Information

The domain 'www.parcocirceo.it' uses the Italian country-code top-level domain (.it); it also runs on subdomain 'www'. The core label 'parcocirceo' covers 11 characters containing five vowels alongside six consonants. Breaking it apart gives four words: par, co, circe, o. Average segment length settles at 2.5 characters. Most frequently, 'par' shows up in Galician. Usage also turns up in Portuguese and Portuguese (Brazil) contexts.

Screenshot

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

Page Load Overview

16.83s
Total Load Time
50
HTTP Requests
2
Domains
5.0 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:8,819 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning81% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
81%
government public service
71%
travel tourism
44%
entertainment media
35%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1835.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
16213.209.215.154Ravenna, Emilia-Romagna, Italy
AS21309HERABIT S.p.A.
1635.152.40.99Milan, Lombardy, Italy
AS16509AMAZON-02
503--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16F03DF72C4892037036B59CCBA247FAEB1D7565DCA231A2953FD63C22BD7D69DE2100B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:1ejS2F4MbmYEaZ6avGGfykOJM3u9DF0yD1hc:1tNMqqQ9DF0yzc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:39685:BCMBjIJEAjDHJFG4aJCAQQh2PCFQaoKRBwwAspKAFUQI6CoygdkZCFgBwHpACsJJkAecbFQANhl0kziFgQRojUGicNAoAcMU

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:fff1e1818181ffdf
Perceptual Hash:ef6691123b933b42
Difference Hash:5567434363390813
Wavelet Hash:bdf1a1818181ff8b
Color Hash:#53ac8d

Scan History

Scan history not available

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