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

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Submitted: Jan 11, 2026, 9:31:53 AMCompleted: Jan 11, 2026, 9:33:15 AMpubliccompleted
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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
Absence of malicious Indicators of Compromise
No suspicious forms or data collection
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

(29%)

Domain Information

Within the Italian country-code top-level domain (.ao.it), 'www.collegio.geometri.ao.it' is registered, featuring subdomain 'www.collegio'. Its registrable label 'geometri' stretches across 8 characters holding 4 vowels versus four consonants. Splitting it apart reveals 3 words: geo, me, tri. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

6.58s
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:5,443 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service29% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
29%

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

T1E2336330708C8C7F05A743C9A664769860FFCE70E53240E6F6B70B694AD6CD0E96A977

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:al5wCBqQRNmqhjqQqw6JuPEJDWrwtOmU68hqOFe8APswtNdB5tckOk6PkOk6OIO4:sfjNtXtmwy+/rEm06d+tC/hqxi6iLth

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:51299:BNsxQOKCAhZgYFUIKmIzAxNk1QxAgAMEMoRgkHrAMgxQxQWQNpWIpsMBkADD9XHECOYxGWxCAAymI4DEhA0EwECqMEEEJgAk

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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