Security Scan Report: www.comune.santamariadilicodia.ct.it

Submitted: Oct 12, 2025, 6:38:45 AMCompleted: Oct 12, 2025, 6:40:10 AMpubliccompleted
Loading additional data...

Summary

This website contacted 9 IPs in 3 countries across 5 domains to perform 60 HTTP transactions. The main domain is comune.santamariadilicodia.ct.it.

Submitted URL: https://www.comune.santamariadilicodia.ct.it/it

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official municipal website (Comune di Santa Maria di Licodia)
No credential or payment collection forms
No external links to untrusted domains
Domain age information unavailable

Details

Page Title

Comune di Santa Maria di Licodia

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(66%)

Domain Information

Domain 'www.comune.santamariadilicodia.ct.it' uses the Italian country-code top-level domain (.ct.it) and includes subdomain 'www.comune'. The registrable portion 'santamariadilicodia' spans 19 characters split between 10 vowels and nine consonants. It segments into five words: santa, maria, dili, co, dia. The median word length lands at four characters. 'santa' is most common in Malay usage. You will also see it in Indonesian and Czech contexts. Taken together, it feels Malay.

Screenshot

Security scan screenshot of https://www.comune.santamariadilicodia.ct.it/it

Page Load Overview

66.89s
Total Load Time
60
HTTP Requests
5
Domains
3.7 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:5,452 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service66% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
66%
finance banking
58%
education learning
37%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1234.120.160.141Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
6188.166.57.74Amsterdam, North Holland, Netherlands
AS14061DIGITALOCEAN-ASN
634.120.51.25Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
635.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
634.120.66.199Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
6165.232.93.253Amsterdam, North Holland, Netherlands
AS14061DIGITALOCEAN-ASN
6104.248.196.220Amsterdam, North Holland, Netherlands
AS14061DIGITALOCEAN-ASN
6188.166.63.236Amsterdam, North Holland, Netherlands
AS14061DIGITALOCEAN-ASN
635.152.40.99Milan, Lombardy, Italy
AS16509AMAZON-02
609--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14714D7215DB8D02E911380ECB6B8970AD6E9E517C4499C6C7AED2B7C8F93DC68D1360F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Lp9rkGCK/WAIRg70kl+0wHoiVu4lUxH3+H7H:Lp9rvF+H7H

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:190397:kMIBCRFQQEJFAQQkEcIySRRcSyII0/B8BRFrCQUEQhUArSPSCEF4QdKsTsg8VKCqkOUSUIsyIKGEQzEioOCgiUIKSDKGBRKq

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:0000f3fbffdb0000
Perceptual Hash:ecc61239464eed96
Difference Hash:c4c62723231373b1
Wavelet Hash:0000ffffffff0000
Color Hash:#1f2d93

Scan History

Scan history not available

Unable to load historical scan data