Security Scan Report: www.comune.santateresadiriva.me.it

Redirected to:
https://www.comune.santateresadiriva.me.it/it
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Submitted: Jun 9, 2026, 12:06:09 PMCompleted: Jun 9, 2026, 12:07:21 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 2 HTTP transactions. The main domain is comune.santateresadiriva.me.it.

Submitted URL: https://www.comune.santateresadiriva.me.it/

Effective URL: https://www.comune.santateresadiriva.me.it/itRedirected

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Legitimate municipal website with no malicious indicators.

Safety Factors
Domain and branding align with the municipality
Absence of forms or credential collection
No malicious JavaScript or YARA detections
Domain age unknown but not treated as new per policy
Content classified as government public service with high confidence
Domain age information unavailable

Details

Page Title

Comune di Santa Teresa di Riva

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(95%)

Domain Information

The domain name 'www.comune.santateresadiriva.me.it' uses the Italian country-code top-level domain (.me.it) and includes subdomain 'www.comune'. The second-level label 'santateresadiriva' is 17 characters long with 8 vowels and nine consonants. Word splitting yields four words: santa, teresa, di, riva. The median word length lands at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.santateresadiriva.me.it/

Page Load Overview

2.94s
Total Load Time
58
HTTP Requests
4
Domains
1.4 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:5,547 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service95% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
95%
travel tourism
72%
healthcare medical
54%
adult content
47%
government
40%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1634.149.107.255Kansas City, Missouri, United States
AS396982Google LLC
14104.248.196.220Amsterdam, North Holland, Netherlands
AS14061DigitalOcean, LLC
1434.120.66.199Kansas City, Missouri, United States
AS396982Google LLC
1434.120.160.141Kansas City, Missouri, United States
AS396982Google LLC
584--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15514D7215EF9D02E501380ECB6B9A70AD6E9D543C44D9C6C7AED2A7C8F93DC68D1360E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:qvyNPlcG5yk3fmGFhAqw7zNz+WabF7EH4r+IDYDibapmER4KsFaszD73G/H7b7qh:pPlcqVPrbL6Nz+WabF7EH4r+IDYY+H7U

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:196400:UUQxHCIhkoHDQCNlAIoEAYAaQxRIiIglEDZAEdAGG2oSPKSCDogAxyQCQNkQEgzg4oUgg4BJA6AKLloEAiQDhoFMygAkARAC

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:0000fff3f3f30000
Perceptual Hash:ec93136c6c12f99a
Difference Hash:c4c4322727277133
Wavelet Hash:0067fff3f3fb0000
Color Hash:#93841f

Scan History

Scan history not available

Unable to load historical scan data