Security Scan Report: www.geometri.verbania.it

Site favicon
Submitted: Oct 2, 2025, 11:11:50 AMCompleted: Oct 2, 2025, 11:13:07 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 46 HTTP transactions. The main domain is geometri.verbania.it and was registered NaN years ago.

Submitted URL: https://www.geometri.verbania.it/it-it/home

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The site appears to be a legitimate, long‑standing official portal with no signs of phishing or malware.

Safety Factors
Very old domain registration date (1998‑05‑19)
Clear official language and branding for the Collegio Geometri e Geometri Laureati della Provincia del Verbano Cusio Ossola
No malicious Indicators of Compromise detected
Standard hosting without cloud storage or IPFS
No hidden or disguised password fields
Domain age information unavailable

Details

Page Title

Collegio Geometri e Geometri Laureati della Provincia del Verbano Cusio Ossola

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

social media network

(96%)

Domain Information

The domain name 'www.geometri.verbania.it' uses the Italian country-code top-level domain (.verbania.it) with subdomain 'www'. The core label 'geometri' covers 8 characters with 4 vowels and 4 consonants. Splitting it apart reveals three words: geo, me, tri. Expect three characters per word on average. Most frequently, 'geto' shows up in Estonian. You may catch it in Chinese (Pinyin) and Albanian as well. Taken together, it feels Estonian.

Screenshot

Security scan screenshot of https://www.geometri.verbania.it/it-it/home

Page Load Overview

46.00s
Total Load Time
46
HTTP Requests
1
Domains
4.8 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:6,602 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network96% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
96%
documentation technical
94%
government public service
80%
news media journalism
58%
real estate property
50%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
46151.11.50.116Florence, Tuscany, Italy
AS24994genesys informatica srl
461--

Detected Technologies4

JQueryv3.6.0
100%
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F873B620A9F0103B01A396C47A75A72BBFA79647D94A1501B2BD0FC44FEBD42AE1761F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:wEO3rd04HnA+2VDUvpRyrq65kULULgB04HpTGLdjj3qzu8:wEO3rd04HAjDGpR+rk2UQVu8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:77763:GDBYBAMgMGCFZK0YYAhcOAL9SrChbJZgAigEnEGJhnRwAMdMGAUpsDFCAzgB3EQToMQnYguIgCJluWwmQCDgCsBQMGAQuHA0

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:ffff000100ffff00
Perceptual Hash:8e1379f366a5990c
Difference Hash:1b1bea6d65002735
Wavelet Hash:fffd000100ffff00
Color Hash:#4d3a78

Scan History

Scan history not available

Unable to load historical scan data