SCAN INCOMPLETE - LIMITED DATA COLLECTED

There were problems collecting data from this website

The website may be blocking automated browsers (bot protection)
The site may be using geo-blocking or rate limiting
Network connectivity issues may have prevented access

LIMITED DATA

Note: There were problems collecting data during this scan, and some information may be missing or incomplete. The security analysis below is based on limited information and may not be accurate. Consider trying the scan again.

Security Scan Report: collegio.geometri.bg.it

Submitted: Completed: publiccompleted
This website contacted 1 IP in 0 countries across 1 domain to perform 3 HTTP transactions. The main domain is geometri.bg.it and was registered 22 years ago.

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

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate site with no security concerns.

Safety Factors (4)
Well‑established domain (over 20 years old)
No malicious Indicators of Compromise
No forms collecting sensitive data
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

Collegio Geometri e Geometri Laureati della Provincia di Bergamoother network

Scan Type

public

Domain Name Analysis

Domain 'collegio.geometri.bg.it' uses the Italian country-code top-level domain (.bg.it) and includes subdomain 'collegio'. Its registrable label 'geometri' stretches across 8 characters holding 4 vowels versus 4 consonants. Segmentation suggests 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://collegio.geometri.bg.it/

Page Load Overview

8.17s
Total Load Time
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:765 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software78% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
78%
documentation technical
51%
adult content
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3195.231.92.60UnknownUnknown
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C39399B34CE9603AC1DAB2C8A0D47629BE86450BDD248B51B3FD576CDB85E900D6372E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:OOBZdypJlFLPHDWgJFQosL7WpfqnDEj+dUysJEV/pw05gCoWo0sCYDF0xW:/hyp3FISpfqnDEj+dUyTv5gCohDF0xW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:94738:iujWnsCdHh7CoEJpigQpCbVQTJhCBIGlBDMERAKuVFSBBTIQoz4AKQxRQIARRCUCEAAFqw5QChXRrTuAGi00hCEE0hCcMhBI

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:bc0199bc52b8bc76
Difference Hash:324197950c2e2b29
Wavelet Hash:ff00000000ffffff
Color Hash:#a2e06c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data