Security Scan Report: www.collegio.geometri.ao.it

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Submitted: Oct 16, 2025, 3:41:00 PMCompleted: Oct 16, 2025, 3:42:42 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 38 HTTP transactions. The main domain is collegio.geometri.ao.it and was registered NaN years ago.

Submitted URL: https://www.collegio.geometri.ao.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration
Clear institutional purpose and contact information
No suspicious redirects or hidden scripts
Domain age information unavailable

Details

Page Title

Collegio Regionale Geometri e Geometri laureati della Valle d'Aosta

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(83%)

Domain Information

The domain 'www.collegio.geometri.ao.it' uses the Italian country-code top-level domain (.ao.it); it also runs on subdomain 'www.collegio'. The core label 'geometri' covers 8 characters split between 4 vowels and four consonants. Word splitting yields three words: geo, me, tri. The median word length lands at three characters. 'geto' most often appears in Estonian. It also appears in Chinese (Pinyin) and Albanian contexts. Taken together, it feels Estonian.

Screenshot

Security scan screenshot of https://www.collegio.geometri.ao.it/

Page Load Overview

77.98s
Total Load Time
38
HTTP Requests
1
Domains
2.6 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:5,290 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service83% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
83%
documentation technical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3852.28.184.155Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
381--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T175336430708C8C7F05A743CAA564769860FFCE74E53240E6F6BB0B694AC2CD1E96A577

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:Wl5wCBqQRxaqhjqQqw6JuPEJDWrwtOmU68hqOFe8APswtNdB5tckOk6PkOk6OIOx:wj3NtXtgszoN3HNIad4vplwaDxiISLth

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:50956:wGcDAFBgY2paAAJBnkEEHZEgBCwAItB1oJaOmECAgBIMyEQiwBB2AprAC4IwggD5E/KEOKzKBpjNBgCwwNaU9AAAAz0BCIgw

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

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