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

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Submitted: Dec 23, 2025, 10:49:16 PMCompleted: Dec 23, 2025, 10:49:59 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 90 HTTP transactions. The main domain is collegio.geometri.pn.it and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Long-established domain
No credential or payment collection
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Collegio Geometri Pordenone - sito web ufficiale

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

real estate property

(97%)

Domain Information

The domain 'www.collegio.geometri.pn.it' uses the Italian country-code top-level domain (.pn.it) and includes subdomain 'www.collegio'. Its registrable label 'geometri' stretches across 8 characters containing four vowels alongside 4 consonants. Splitting it apart reveals three words: geo, me, tri. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

6.53s
Total Load Time
90
HTTP Requests
3
Domains
53.0 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
Text Length:3,959 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property97% confidence
Type: spa
Method: ml+structural

All Detected Categories

real estate property
97%
government public service
94%
education learning
85%
documentation technical
78%
adult content
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
30216.58.209.195United States
AS15169GOOGLE
30216.58.209.170United States
AS15169GOOGLE
3051.68.43.56France
AS16276OVH SAS
903--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18B43A72199D49627424305D6F029EF0AEED3EA17D227890476FF4BF29FD2EE44D17288

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:DjKn35q4wTIblVkGM1xg32le5SYJBiVmfmpG:XKn35q4wT2lVkeuVm0G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:55203:ASmoKIhDAWYYCEoAOdAIDg4wZBBCCGAwgxUACCBggEBOiQQXAQqSUy0yRIIQIoQVReJoYApZBLNWFFERhULEMBCUAFqwkVSc

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:ffff5e00ffff0000
Perceptual Hash:bae741b44f1d9c82
Difference Hash:2a68b031293695b1
Wavelet Hash:ffff0000ffff0000
Color Hash:#783a67

Scan History

Scan history not available

Unable to load historical scan data