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

Submitted: Dec 21, 2025, 1:43:09 PMCompleted: Dec 21, 2025, 1:43:47 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 7 domains to perform 85 HTTP transactions. The main domain is collegio.geometri.pi.it and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site appears legitimate with no notable security concerns.

Safety Factors
Long‑standing domain registration (1999)
Official regional domain (pi.it) with institutional purpose
Absence of suspicious redirects or hidden password fields
Domain age information unavailable

Details

Page Title

Collegio dei Geometri e Geometri Laureati della Provincia di Pisa

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

documentation technical

(67%)

Domain Information

The domain name 'www.collegio.geometri.pi.it' uses the Italian country-code top-level domain (.pi.it) and includes subdomain 'www.collegio'. The registrable portion 'geometri' spans 8 characters containing 4 vowels alongside four consonants. Tokenizing the label suggests 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.collegio.geometri.pi.it/

Page Load Overview

10.20s
Total Load Time
85
HTTP Requests
7
Domains
5.5 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:3,987 chars
Detector Agreement:80%

Website Classification

Primary Category

documentation technical67% confidence
Type: webapp
Method: ml+structural

All Detected Categories

documentation technical
67%
government public service
56%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15216.58.209.202United States
AS15169GOOGLE
1020.61.190.218Amsterdam, North Holland, Netherlands
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
10104.17.243.234United States
AS13335CLOUDFLARENET
10104.17.242.234United States
AS13335CLOUDFLARENET
10104.18.23.19United States
AS13335CLOUDFLARENET
10104.16.80.73United States
AS13335CLOUDFLARENET
10142.251.38.67United States
AS15169GOOGLE
10104.18.22.19United States
AS13335CLOUDFLARENET
858--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15773855081ED153741A341CAB4A57F9E3DEB8A33D6065E14BAFE0BA69FC2F844C0F15A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:8LPtsyZIlqzh6RuoxTKzPSIBZpoXy+clD0PhXh21IFhihkQMJa:8LZZIlqeTKzL0PhXhNhihkQMJa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:74263:AYB31SYhAgEgisPVBgKClmQVAhWQPUIFhIQBgXDUAWqsCVIogQA1+AAhWARKDQQBeWGKx9AUNwIA6TtNAQQRQBSBK4wAFCmJ

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:000000687fffff7f
Perceptual Hash:814e3eb24de316e6
Difference Hash:51e1d5dada9cdcdc
Wavelet Hash:000000687fffff7e
Color Hash:#d279a9

Scan History

Scan history not available

Unable to load historical scan data