Security Scan Report: www.geometri.av.it

Submitted: Jan 24, 2026, 10:49:37 AMCompleted: Jan 24, 2026, 10:50:50 AMpubliccompleted
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Summary

This website contacted 3 IPs in 3 countries across 3 domains to perform 1 HTTP transaction. The main domain is geometri.av.it and was registered NaN years ago.

Submitted URL: https://www.geometri.av.it/

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate site for the Collegio Provinciale Geometri e Geometri Laureati di Avellino.

Safety Factors
Well‑established domain (registered since 2000)
No suspicious forms or data collection
No JavaScript malware patterns detected
No brand impersonation detected
No external malicious links
Domain age information unavailable

Details

Page Title

C.G. e G.L. Avellino - Home

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

healthcare medical

(47%)

Domain Information

The domain name 'www.geometri.av.it' uses the Italian country-code top-level domain (.av.it), featuring subdomain 'www'. The registrable portion 'geometri' spans 8 characters holding four vowels versus four consonants. Word splitting yields three words: geo, me, tri. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.geometri.av.it/

Page Load Overview

3.01s
Total Load Time
96
HTTP Requests
12
Domains
1.9 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:7,555 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical47% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
47%
government public service
30%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
32142.251.140.174United Kingdom
3294.23.71.118France
AS16276OVH SAS
32172.67.167.129United States
AS13335CLOUDFLARENET
963--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15843C832C8C8053B8347A1C9D860FB8E75EF48BAE9934A52B2FE126C5BCBD45543C55D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Dmwul0U8cBNPv3IA6sAs6s6s6s6CnKxg4tO+M45LLDHLgW:Dmjl0U8cBt4jLXXXXCnYtPFLDHLgW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:55881:QgAoFUsUFBICIAFARJHEm/jioUBRAGgIoaIhJVEXjYNcCCAOKqSgCgihgAmq0hwABihtokc0oIUEEKqWCigkBAACIIgXmDXw

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:9f8004ffffc7c700
Perceptual Hash:b64d3a9c89b81cb6
Difference Hash:334f8c3252aeaeaf
Wavelet Hash:9b0004ffffc7c700
Color Hash:#2d6786

Scan History

Scan history not available

Unable to load historical scan data