Security Scan Report: www.comune.rignano-sullarno.fi.it

Redirected to:
https://www.comune.rignano-sullarno.fi.it/it
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Submitted: Jun 12, 2026, 1:45:43 AMCompleted: Jun 12, 2026, 1:46:57 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 2 HTTP transactions. The main domain is comune.rignano-sullarno.fi.it.

Submitted URL: https://www.comune.rignano-sullarno.fi.it

Effective URL: https://www.comune.rignano-sullarno.fi.it/itRedirected

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site appears to be a legitimate municipal website with no phishing or malware indicators.

Safety Factors
Brand name aligns with domain (Comune di Rignano sull'Arno)
Absence of credential or payment forms
No malicious JavaScript or network indicators
Unranked status is weak alone and does not imply risk for a government site
Domain age unknown but not treated as suspicious for official entities
Domain age information unavailable

Details

Page Title

Comune di Rignano sull'Arno

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

education learning

(82%)

Domain Information

Within the Italian country-code top-level domain (.fi.it), 'www.comune.rignano-sullarno.fi.it' is registered; it also runs on subdomain 'www.comune'. Its registrable label 'rignano-sullarno' stretches across 16 characters split between six vowels and nine consonants; bonus characters include one hyphen. Word splitting yields 4 words: rig, nano, sulla, rno. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.rignano-sullarno.fi.it

Page Load Overview

3.98s
Total Load Time
60
HTTP Requests
4
Domains
5.9 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:4,549 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning82% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
82%
government public service
56%
government
40%
corporate
25%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1534.120.66.199Kansas City, Missouri, United States
AS396982Google LLC
15104.248.196.220Amsterdam, North Holland, Netherlands
AS14061DigitalOcean, LLC
1534.120.51.25Kansas City, Missouri, United States
AS396982Google LLC
1534.120.160.141Kansas City, Missouri, United States
AS396982Google LLC
604--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C114D8215DF4D02E901380ECB6B8970ADAE9D517C48A5C5C79EE2A7C8F97EC68D1360F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:v9rSJywXEMii5a6sB0G4mrXCzVvv0JGe6zSH7l:v9rSpSH7l

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:202223:HWDAgQCigEBXwAAMiUSAAC8AvF16FqQYtIJQgEKUEEELkkA6A0RSS4AIFDApQYBAcGIMaDiLrBvAxCAoRAGApkCBGRAAAARX

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:0000fffffffb0000
Perceptual Hash:ecc61279463cbdc2
Difference Hash:cccc2323433333f5
Wavelet Hash:0000ffffffff0000
Color Hash:#1f8293

Scan History

Scan history not available

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