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%
The site shows no security threats and appears to be a legitimate municipal website.
Safety Factors
Details
Page Title
Comune di Verolavecchia
Scan Type
public
Language
Italian
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

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 11 | 104.248.196.220 | Amsterdam, North Holland, Netherlands | AS14061DIGITALOCEAN-ASN |
| 5 | 34.120.66.199 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 5 | 34.120.160.141 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 5 | 34.120.51.25 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 5 | 188.166.57.74 | Amsterdam, North Holland, Netherlands | AS14061DIGITALOCEAN-ASN |
| 5 | 188.166.63.236 | Amsterdam, North Holland, Netherlands | AS14061DIGITALOCEAN-ASN |
| 5 | 165.232.93.253 | Amsterdam, North Holland, Netherlands | AS14061DIGITALOCEAN-ASN |
| 41 | 7 | - | - |
Detected Technologies10
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
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