Security Scan Report: collegio.geometri.vr.it

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Submitted: Oct 9, 2025, 1:07:25 PMCompleted: Oct 9, 2025, 1:08:02 PMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 4 domains to perform 70 HTTP transactions. The main domain is collegio.geometri.vr.it and was registered NaN years ago.

Submitted URL: https://collegio.geometri.vr.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established professional organization
Standard informational website with only a search form
No external links to suspicious domains
Domain age information unavailable

Details

Page Title

Il Collegio Geometri di Verona - Collegio dei Geometri - Collegio dei Geometri

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

social media network

(74%)

Domain Information

Domain 'collegio.geometri.vr.it' uses the Italian country-code top-level domain (.vr.it), featuring subdomain 'collegio'. Count 8 characters in 'geometri' with 4 vowels and four consonants. It segments into three words: geo, me, tri. Median word length is 3 characters. The linguistic tilt is Estonian for 'geto'. You may catch it in Chinese (Pinyin) and Albanian as well. Net impression: Estonian phrase.

Screenshot

Security scan screenshot of https://collegio.geometri.vr.it/

Page Load Overview

19.94s
Total Load Time
70
HTTP Requests
4
Domains
1.0 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-IT
Text Length:12,992 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network74% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
74%
government public service
62%
education learning
49%
corporate
25%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14166.117.27.6United States
AS16509AMAZON-02
7166.117.194.248United States
AS16509AMAZON-02
7104.18.18.62United States
AS13335CLOUDFLARENET
781.88.53.42Italy
AS39729Register S.p.A.
7104.18.19.62United States
AS13335CLOUDFLARENET
7166.117.227.218United StatesUnknown
7166.117.105.37United StatesUnknown
72606:4700::6812:123eUnited StatesUnknown
72606:4700::6812:133eUnited StatesUnknown
709--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T107C396B188ED643E819636C4B099B526F3E6C50ACB561A0477FC6768CFC7E710CA970E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:L1bHlyflQs0UA6iCtUCv7YsGclgTamkOeNAF7zWRp:LREA6iCtUG5Rp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:119319:SCaMsxLgDCUx0TaAyQloWExEXwCED1mJkxQLAASFaBUgFFkIYaBAHKAaIwJbMgZhO2NBwBqAMACNCFchQB1IIKIJAIAT/Ji4

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:ff00000000ffffff
Perceptual Hash:ca45f5b44ccdc313
Difference Hash:26d9c1e321173019
Wavelet Hash:ff00000000ffffff
Color Hash:#2d8386

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data