Security Scan Report: www.arpacal.it

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Submitted: Jan 17, 2026, 11:50:52 AMCompleted: Jan 17, 2026, 11:52:09 AMpubliccompleted
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Summary

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

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

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate government site with no security concerns.

Safety Factors
Well‑established domain (>24 years old)
No malicious Indicators of Compromise matches
No login or payment forms present
Official government branding
Standard hosting without IPFS or cloud storage
Domain age information unavailable

Details

Page Title

ARPACAL - Home

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(69%)

Domain Information

Within the Italian country-code top-level domain (.it), 'www.arpacal.it' is registered, featuring subdomain 'www'. The second-level label 'arpacal' is 7 characters long with three vowels and 4 consonants. Tokenizing the label suggests 2 words: arpa, cal. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

4.71s
Total Load Time
81
HTTP Requests
2
Domains
12.8 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:4,265 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service69% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
69%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4135.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
4089.46.106.64Arezzo, Tuscany, Italy
AS31034Aruba S.p.A.
812--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B473E431D445102F0353C9DD6879BF09F0E3C91AE91B0A95AAFF07DC2FE6D60856EA98

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jrzW1lwSA4x0PDt6NTDwDUg0NOgkQp3pBk5qZosnstscsls2stsPosYsws7smsNf:MDl4C092TcdTDoZKvQJO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:73466:oA+MogRCAMCgAAwgQY0AYoQWQKSBIAWIGyQh6KMAaEkA/iGN2JgACyFgpEMIiIAyGBjwSBEDdEAdiCERhIDBQgIYQIAKCUQA

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:fdfff1f1f1f1f300
Perceptual Hash:ec9b13941be468ec
Difference Hash:2963272727270703
Wavelet Hash:9d18f1f1f1f1f100
Color Hash:#79d2a6

Scan History

Scan history not available

Unable to load historical scan data