Security Scan Report: www.comune.verolavecchia.bs.it

Submitted: Oct 18, 2025, 6:20:10 PMCompleted: Oct 18, 2025, 6:20:49 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 4 domains to perform 41 HTTP transactions. The main domain is comune.verolavecchia.bs.it.

Submitted URL: https://www.comune.verolavecchia.bs.it/it

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security threats and appears to be a legitimate municipal website.

Safety Factors
Official municipal domain (comune.verolavecchia.bs.it)
Standard informational website with public service content
Domain age information unavailable

Details

Page Title

Comune di Verolavecchia

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(78%)

Domain Information

Within the Italian country-code top-level domain (.bs.it), 'www.comune.verolavecchia.bs.it' is registered; it also runs on subdomain 'www.comune'. Count 13 characters in 'verolavecchia' split between 6 vowels and seven consonants. It segments into 4 words: ver, olav, ecchi, a. Expect 3.5 characters per word on average. 'ver' is most common in Hungarian usage. You will also see it in Galician and Portuguese contexts. Net impression: Hungarian phrase.

Screenshot

Security scan screenshot of https://www.comune.verolavecchia.bs.it/it

Page Load Overview

10.63s
Total Load Time
41
HTTP Requests
4
Domains
6.4 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:4,482 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service78% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
78%
healthcare medical
52%
adult content
28%
education learning
28%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11104.248.196.220Amsterdam, North Holland, Netherlands
AS14061DIGITALOCEAN-ASN
534.120.66.199Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
534.120.160.141Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
534.120.51.25Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
5188.166.57.74Amsterdam, North Holland, Netherlands
AS14061DIGITALOCEAN-ASN
5188.166.63.236Amsterdam, North Holland, Netherlands
AS14061DIGITALOCEAN-ASN
5165.232.93.253Amsterdam, North Holland, Netherlands
AS14061DIGITALOCEAN-ASN
417--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T169B3A72246F1147B116381EC36BEA71AAFA2E50BD9861461FAFE07D44FE7C819B0374D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:yMdmj2itZa6uKf1tVpdTqwCVykz16dvOvvibapmER4KbOYB:a2itMP83LwfVykz16dvOv7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:115176:CyLQACMJgKIDWAEaUAAj6EDGyE0CABQgN4ByzmDgdizFSOUALIDUUChQ5AqYKADZJATYMgEyKwcMoAEPEjAEh6ACFAAAR/CA

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:0000f3f3f3ffffff
Perceptual Hash:ec641313666cadec
Difference Hash:ccc52727672a2356
Wavelet Hash:0000d1f1f1a3ebff
Color Hash:#c1e06c

Scan History

Scan history not available

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