Security Scan Report: www.comune.vibovalentia.vv.it

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Submitted: Oct 20, 2025, 5:09:38 PMCompleted: Oct 20, 2025, 5:11:02 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 3 domains to perform 70 HTTP transactions. The main domain is comune.vibovalentia.vv.it.

Submitted URL: https://www.comune.vibovalentia.vv.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Official municipal domain (comune.vibovalentia.vv.it)
Public service information with no suspicious redirects
No login or financial data collection
Domain age information unavailable

Details

Page Title

Homepage - Comune di Vibo Valentia

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(89%)

Domain Information

You're looking at domain 'www.comune.vibovalentia.vv.it' on the Italian country-code top-level domain (.vv.it), featuring subdomain 'www.comune'. The core label 'vibovalentia' covers 12 characters with 6 vowels and 6 consonants. Breaking it apart gives 2 words: vibo, valentia. Median word length comes out to 6 characters. Most frequently, 'vio' shows up in Spanish. You may catch it in Icelandic and Norwegian as well.

Screenshot

Security scan screenshot of https://www.comune.vibovalentia.vv.it/

Page Load Overview

15.66s
Total Load Time
70
HTTP Requests
3
Domains
3.0 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:6,889 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service89% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
89%
entertainment media
30%
forum
25%

Detected Features

Comments
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1735.152.40.99Milan, Lombardy, Italy
AS16509AMAZON-02
17116.202.226.240Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
1735.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
1715.161.77.42Milan, Lombardy, Italy
AS16509AMAZON-02
704--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12FB3D8358288253F4227D7C9B6B5A629D4ABA48DCED35390D3FE834803E7CD0E62955F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:UOl0AWPI70qWjEsLUVjaWV8Ujx8ojh8kqsLrwanqgO/AThZNRCMWtAKm5c4Ttx3D:5KkEIZVBXSJKcDvjfdY6vc4QdFz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:114383:BE+wm4zBUGVQBuIgMXltCDyKgIACAEEIChegUAKGlYLCBWKhyBg2URJciI8pABiHAGhKBpIiIBmcICcai4FIAA3EUHKiyigI

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:0000fffbf3ffff8f
Perceptual Hash:ec4613466c96caed
Difference Hash:c4cc232323233e3b
Wavelet Hash:0000fbf1f1f1c78f
Color Hash:#bfae40

Scan History

Scan history not available

Unable to load historical scan data