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

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Submitted: Oct 5, 2025, 2:57:08 AMCompleted: Oct 5, 2025, 2:57:44 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 3 domains to perform 44 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 appears to be a legitimate municipal website with no phishing or malware indicators.

Safety Factors
Official government domain structure
Presence of verified municipal contact information
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

Comune di Riolo Terme

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

news/blog

(40%)

Domain Information

The domain name 'www.comune.rioloterme.ra.it' uses the Italian country-code top-level domain (.ra.it); it also runs on subdomain 'www.comune'. Its registrable label 'rioloterme' stretches across 10 characters split between 5 vowels and 5 consonants. Segmentation suggests four words: rio, lo, term, e. Median word length is 2.5 characters. 'rio' most often appears in Italian. Usage also turns up in Albanian and Galician contexts.

Screenshot

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

Page Load Overview

2.99s
Total Load Time
44
HTTP Requests
3
Domains
224 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:7,384 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog40% confidence
Type: dynamic
Method: structural

All Detected Categories

news/blog
40%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
44176.223.164.116Italy
AS31638Lepida S.c.p.A.
441--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T168A3127692F0612602E711A9F1A09F47DE73C977898B06A531FC8FC42FD6EC065DB268

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:oqx4b7jeiWjvDpL5oNwbvAYbvOzoJOXy+ndIIiTRHtkPzjGM+Dnj9TTkLNvn:5GzwOiaH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:102763:Kv0jAYVLb8oIsyJgBUqLGDxwACAAiDo+C0UokEBgljRIoJFBsUYlgQJ9FeQzCwhBiBQgAWgR6XSyQ0IjF5DEEWQFwACeBLEw

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:0000f1f1f7fff7ff
Perceptual Hash:ee6d1110266ae9ed
Difference Hash:c6ce232707a7a5c5
Wavelet Hash:0000f1f1f1d1f5fd
Color Hash:#a187c5

Scan History

Scan history not available

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