Security Scan Report: www.comune.vanzaghello.mi.it

Redirected to:
https://comune.vanzaghello.mi.it/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 2 IPs in 2 countries across 4 domains to perform 57 HTTP transactions. The main domain is vanzaghello.mi.it.

Submitted URL: https://www.comune.vanzaghello.mi.it

Effective URL:
https://comune.vanzaghello.mi.it/
Redirected

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site appears to be a legitimate municipal portal with no indicators of phishing, malware, or other scams.

Safety Factors (4)
Government public service site
Domain matches claimed brand
No forms collecting sensitive data
No malicious code or external malicious links
Domain age information unavailable

Details

Page Title

Comune di Vanzaghello

Scan Type

public

Domain Name Analysis

Domain 'www.comune.vanzaghello.mi.it' uses the Italian country-code top-level domain (.mi.it) and includes subdomain 'www.comune'. Count 11 characters in 'vanzaghello' holding four vowels versus seven consonants. Segmentation suggests three words: van, zag, hello. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.vanzaghello.mi.it

Page Load Overview

2.42s
Total Load Time
1.1 MB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:it
Text Length:18,338 chars
Detector Agreement:80%

Website Classification

Primary Category

government public service79% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
79%
government
40%
education learning
26%
corporate
25%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2916.22.97.182Milan, Lombardy, Italy
AS16509Amazon.com, Inc.
2876.223.57.212United States
AS16509Amazon.com, Inc.
572--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F394197243F402AE259B83EDAF717A126D1AA08BD5CA550473EC8B848FF3DD1E94761C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:fEyQYw9x1WfxsrgQKWmjxWIsGe8SMhUIDvXvFluzmwNCUEb5tNblFCRmdLN4y6nN:ROrgQKWVAna

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:442637:CnBUAEAACFQaIAgA4gUjGlhLakCwCAIIWQARBMJlEFACvBSIQPgIFiACCBDDJUAgQGkRVtNCh5ThqgiAABiodCBUAMapxjww

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:0000fffffff7fcff
Perceptual Hash:d22552620dd2afde
Difference Hash:8c8e303436ad8d71
Wavelet Hash:00009fff97c5d4bc
Color Hash:#ae2dd2

Scan History

Scan history not available

Unable to load historical scan data