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

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Submitted: Jun 9, 2026, 7:32:04 AMCompleted: Jun 9, 2026, 7:33:25 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is comune.rioloterme.ra.it.

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

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site shows no malicious indicators and appears to be a legitimate municipal government page.

Safety Factors
Government municipal domain (comune.rioloterme.ra.it)
Content type is an article (og:type=article) with no impersonation cues
No external malicious links or redirects
Domain age information unavailable

Details

Page Title

Comune di Riolo Terme

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(85%)

Domain Information

The domain name 'www.comune.rioloterme.ra.it' uses the Italian country-code top-level domain (.ra.it), featuring subdomain 'www.comune'. The registrable portion 'rioloterme' spans 10 characters with five vowels and five consonants. Word splitting yields 4 words: rio, lo, term, e. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

10.79s
Total Load Time
51
HTTP Requests
3
Domains
538 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:8,509 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service85% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
85%
education learning
64%
blog personal website
47%
healthcare medical
46%
adult content
38%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
51176.223.164.116Italy
AS31638Lepida S.c.p.A.
511--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16CB2C639DD9926052B570350B1D362ECF3BFC88DB58A25A46CDF032E12DFA08E1BD55A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:/wBwWwvw4wYwgwIjUnDm/BtJcCkv9BZCKsHP+06AfOKYUwn:/wBwWwvw4wYwgwIjUnOvkFYZObUwn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23601:2FRYBDBESQQAQEIQQhkIoBqnoXBDNIzREID4JkHmiAjbhQGJJGBy2bjJAARAFAATiAqT8CFQR9GrdAhCmJIAIAiEIIYCEBA1

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:feffffe7e7ffffff
Perceptual Hash:d55555555755dd00
Difference Hash:0000000808000000
Wavelet Hash:0e0e3e26263e3e3e
Color Hash:#c2d22d

Other Hashes

Crop Resistant:0000000808000000

Scan History

Scan history not available

Unable to load historical scan data