Security Scan Report: www.comune.rioloterme.ra.it

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Submitted: Oct 11, 2025, 3:11:40 AMCompleted: Oct 11, 2025, 3:12:25 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 3 domains to perform 46 HTTP transactions. The main domain is comune.rioloterme.ra.it.

Submitted URL: https://www.comune.rioloterme.ra.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security concerns and appears to be a legitimate municipal website.

Safety Factors
Official municipal domain (ra.it)
No suspicious redirects or external links
No phishing or malware indicators
Domain age information unavailable

Details

Page Title

Comune di Riolo Terme

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

travel tourism

(89%)

Domain Information

You're looking at domain 'www.comune.rioloterme.ra.it' on the Italian country-code top-level domain (.ra.it), featuring subdomain 'www.comune'. Its registrable label 'rioloterme' stretches across 10 characters holding 5 vowels versus 5 consonants. It segments into 4 words: rio, lo, term, e. Expect 2.5 characters per word on average. Most frequently, 'rio' shows up in Italian. You will also see it in Albanian and Galician contexts.

Screenshot

Security scan screenshot of https://www.comune.rioloterme.ra.it/

Page Load Overview

15.23s
Total Load Time
46
HTTP Requests
3
Domains
238 KB
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:7,726 chars
Detector Agreement:100%

Website Classification

Primary Category

travel tourism89% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

travel tourism
89%
healthcare medical
38%
government public service
37%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
46176.223.164.116Italy
AS31638Lepida S.c.p.A.
461--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10FB3027692F0612602E711A9F1A09F47EE73C977898B069531FC8FC42FD6EC065DB268

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:oqx4b7jeiWjvDpL5oNEXOcRYRmFDZrXyN8ndIIiTRHtkPzjGM+Dnj9TTkLNvn:hDZriqH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:108189:CgkRGCUDF9KRMAghjIOHJDDALsI0GQIGMIIV9CInoiwQtn+BkAwS0pxEEYEBRjQ9IolB0AkFgpQAIDpIBhwmoWEyAl0HHQaA

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:0000f3f3f3ffffff
Perceptual Hash:ee24111b646aeee6
Difference Hash:c6cc272747839994
Wavelet Hash:0000f1f1f1f174ff
Color Hash:#bf40ae

Scan History

Scan history not available

Unable to load historical scan data