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

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Submitted: Jan 9, 2026, 11:01:30 AMCompleted: Jan 9, 2026, 11:02:50 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is comune.rosolina.ro.it.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Official municipal domain (comune.rosolina.ro.it)
No malicious Indicators of Compromise matches found
No credential or payment forms detected on the page
Content appears to be standard municipal information
Domain age information unavailable

Details

Page Title

Regione Veneto

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(100%)

Domain Information

The domain name 'www.comune.rosolina.ro.it' uses the Italian country-code top-level domain (.ro.it) and includes subdomain 'www.comune'. The registrable portion 'rosolina' spans 8 characters containing 4 vowels alongside four consonants. Tokenizing the label suggests 3 words: ros, olin, a. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

5.34s
Total Load Time
57
HTTP Requests
1
Domains
736 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:9,097 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service100% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
100%
blog personal website
96%
real estate property
77%
documentation technical
64%
news media journalism
56%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5718.102.176.96Milan, Lombardy, Italy
AS16509AMAZON-02
571--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15023D03A210A1E5E18E7F974C8F392C8CF6567CCA281C66CFCBCBDE6438F5264189815

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:0zvosTDkuoSTrurlwvmMcFjroSH3w4Evuy5+SQSTD4J3yuyBOAMiJHv6xH:0c6kgPk8RctroSH3VQQSAguniJP6xH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:49671:8UsDSCjoAAoAo4IRbYYBrJmoIgddUIZEBVnUijxCB0lQCUwQYo8IQyToAANOFAiTEyAVhBGM9eaRBpBQ0AEUBEALYtoQgxhx

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:00001c2403270f0f
Color Hash:#d29479

Scan History

Scan history not available

Unable to load historical scan data