Security Scan Report: www.parcoappiaantica.it

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Submitted: May 30, 2026, 9:55:58 PMCompleted: May 30, 2026, 9:57:15 PMpubliccompleted
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Summary

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

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

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

The site is old, matches its claimed brand, has no malicious indicators, and only shows low‑risk login forms; overall it is low risk.

Risk Factors
High JavaScript obfuscation score (charcode manipulation, base64 encoding)
Right‑click blocking
Domain not listed in Cisco Umbrella top 1M
Safety Factors
Domain age >10 years
Meta tags and domain name match (no brand impersonation)
No malicious IoC or YARA detections
Forms appear to be legitimate citizen login
No external credential exfiltration observed
Domain age information unavailable

Details

Page Title

Parco Regionale dell'Appia Antica | Benvenuti

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(79%)

Domain Information

Domain 'www.parcoappiaantica.it' uses the Italian country-code top-level domain (.it), featuring subdomain 'www'. The second-level label 'parcoappiaantica' is 16 characters long holding 8 vowels versus eight consonants. Tokenizing the label suggests 6 words: par, coa, ppi, a, antic, a. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

4.94s
Total Load Time
107
HTTP Requests
3
Domains
1.8 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-IT
Text Length:8,924 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service79% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
79%
e-commerce shopping
70%
corporate
35%
e-commerce
20%

Detected Features

Login Form
Search
Products
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
54142.251.20.95United States
AS15169Google LLC
5389.46.110.4Arezzo, Tuscany, Italy
AS31034Aruba S.p.A.
1072--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D0843AF24208543E51A7A1D8E566F35EB6A7C00ADF8114E4B3FC9EACC7C7E94669270C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:TRXXlP3cOYXQ/wsP3MIA1DIOXYIMEcIGUQdGETZf+bJDgwtICNAPBW6s5Y1ygJ8b:TOQtMIA1DIOXYIMqlBISS8b

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:384383:iieiBEZGLkAgQQZIGdUEDXUkBoJMABC5QwBAEkQTloFcDAoBckIWRZcRCCJBplAKMBWbAjGYLBBORAlFmBiQIIItgAsCARii

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:fffff58101010d01
Perceptual Hash:bac494193b5b6c4e
Difference Hash:55a505193b3b391f
Wavelet Hash:fffffd8101810d01
Color Hash:#2d59d2

Scan History

Scan history not available

Unable to load historical scan data