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

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Submitted: Dec 27, 2025, 8:03:42 AMCompleted: Dec 27, 2025, 8:05:02 AMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 9 domains to perform 88 HTTP transactions. The main domain is collegio.geometri.bs.it and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain registered since 1997
No credential‑harvesting or payment collection forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Collegio Geometri e Geometri Laureati della Provincia di Brescia

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(29%)

Domain Information

Within the Italian country-code top-level domain (.bs.it), 'www.collegio.geometri.bs.it' is registered; it also runs on subdomain 'www.collegio'. The second-level label 'geometri' is 8 characters long with four vowels and 4 consonants. It segments into 3 words: geo, me, tri. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

56.50s
Total Load Time
55
HTTP Requests
9
Domains
3.8 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:8,295 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

government public service
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7151.101.65.229United States
6151.101.130.137United States
AS54113FASTLY
623.56.205.206Germany
623.212.215.73Unknown
6142.250.186.170Unknown
623.36.162.206Unknown
63.92.223.238Ashburn, Virginia, United States
AS14618AMAZON-AES
6104.17.24.14United States
AS13335CLOUDFLARENET
6142.250.185.195UnknownUnknown
559--

Detected Technologies2

JQueryv3.4.1
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18A04542031EB321F0B939AB05691D707AED188C789C528CEB45E5B746FC6D1A4CBE17B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:TFQTeQKclIexQ4UQ4/AQTA6huugS9elPg18stNv0hvHvQEGvIz/NskEVlZwKsPla:LjgS91NvIz/N8GOR8N3VGFe2h

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:185129:SJBAANRtEH1M6AYagkOiAhIuNyYj0EQJQKgSgdWASIRbAIUJByFEbLiMKYAAhgUMg0QCAAHgaxgggcAB2iGakJoPJAQXABMg

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:00003c3c3c380000
Perceptual Hash:ca37704d9f988c5a
Difference Hash:754f697161e19941
Wavelet Hash:00a0bcbc3d3de1f5
Color Hash:#8a1f93

Scan History

Scan history not available

Unable to load historical scan data