Security Scan Report: www.comune.rosolina.ro.it

Redirected to:
https://www.comune.rosolina.ro.it/home
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Submitted: Jun 14, 2026, 4:30:55 PMCompleted: Jun 14, 2026, 4:32:13 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is comune.rosolina.ro.it.

Submitted URL: https://www.comune.rosolina.ro.it

Effective URL: https://www.comune.rosolina.ro.it/homeRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no malicious activity and appears to be a legitimate municipal website.

Safety Factors
Official government branding matches domain
Absence of malicious signals across all analyses
Domain age information unavailable

Details

Page Title

Regione Veneto

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

documentation technical

(59%)

Domain Information

The domain 'www.comune.rosolina.ro.it' uses the Italian country-code top-level domain (.ro.it); it also runs on subdomain 'www.comune'. The registrable portion 'rosolina' spans 8 characters holding 4 vowels versus four consonants. It segments into 3 words: ros, olin, a. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.rosolina.ro.it

Page Load Overview

6.96s
Total Load Time
73
HTTP Requests
3
Domains
1.6 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:8,832 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical59% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
59%
government public service
58%
blog personal website
54%
technology software
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7318.102.176.96Milan, Lombardy, Italy
AS16509Amazon.com, Inc.
731--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13823E03A210A1E5E18E7F974C8F392C8CF6567CCA281C66CFCBCBDE6438F5260189815

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:0zvosTDkuoSTrurlwvmMcFjroSH3w4Evuy5+SQSTD4J3yuyBOAMiJHv6xo:0c6kgPk8RctroSH3VQQSAguniJP6xo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:49670:AnI7CgDWSkkMowIWewFpBhgybhNIEIUNDBG/AFiDISEGYQIQxAWiDQyI8UAO0BwCeoADCJV7RQTAdhUAiLWSmGMBJHaC0gw2

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:c3c3ffffffffffff
Perceptual Hash:b0316d656565399b
Difference Hash:969e604c0e480000
Wavelet Hash:00001c24c3e7ffff
Color Hash:#1f4693

Scan History

Scan history not available

Unable to load historical scan data