Security Scan Report: www.comune.rivignanoteor.ud.it

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Submitted: Dec 28, 2025, 10:07:00 AMCompleted: Dec 28, 2025, 10:07:26 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 74 HTTP transactions. The main domain is comune.rivignanoteor.ud.it.

Submitted URL: https://www.comune.rivignanoteor.ud.it/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site appears to be a legitimate municipal website with no security concerns.

Safety Factors
Official municipal domain structure
No credential or payment collection forms
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

Comune di Rivignano Teor

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

entertainment media

(95%)

Domain Information

The domain name 'www.comune.rivignanoteor.ud.it' uses the Italian country-code top-level domain (.ud.it) with subdomain 'www.comune'. Count 13 characters in 'rivignanoteor' holding 6 vowels versus seven consonants. Tokenizing the label suggests four words: ri, vigna, note, or. 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.rivignanoteor.ud.it/

Page Load Overview

10.67s
Total Load Time
74
HTTP Requests
0
Domains
N/A
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:7,132 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media95% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

entertainment media
95%
adult content
56%
gambling betting
27%
government public service
26%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
53193.43.177.235Italy
AS44831Insiel- Informatica per il sistema degli enti locali S.p.A
235.152.38.193UnknownUnknown
1193.43.177.49UnknownUnknown
03--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E464E66BAE9C2CFB0323C57A2A789A8470780D59F44A1594FDD54B480BF6DFC0D3EA16

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:+imR70RLT/XLD3WfseMaRaF30KaFf0wEvEdEbE/aVcaF00raF20RaF20WaBaNaij:+qLTzrWuy1zZwCPccloASPZ31I

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:309397:QEQEMyQA5LDIBACEcI6EADrQHevCjF7ZVZKtCGgDDIACIOAoRIABRTFAo+Io4AuagRQgECBy84CICGQAAMhEhQkCAKEcGQF8

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:0000f3f3f3f38f80
Perceptual Hash:ec0013a46dbee51f
Difference Hash:84c1e32767273d11
Wavelet Hash:0000fbf3f3f39f80
Color Hash:#931f82

Scan History

Scan history not available

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