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

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Submitted: Oct 8, 2025, 3:32:13 PMCompleted: Oct 8, 2025, 3:34:00 PMpubliccompleted
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Summary

This website contacted 32 IPs in 2 countries across 9 domains to perform 62 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

The site appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration (1997)
No credential‑harvesting or payment collection fields
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

cryptocurrency blockchain

(60%)

Domain Information

Domain 'www.collegio.geometri.bs.it' uses the Italian country-code top-level domain (.bs.it) and includes subdomain 'www.collegio'. Its registrable label 'geometri' stretches across 8 characters with four vowels and 4 consonants. Tokenizing the label suggests 3 words: geo, me, tri. The median word length lands at three characters. Most frequently, 'geto' shows up in Estonian. Usage also turns up in Chinese (Pinyin) and Albanian contexts.

Screenshot

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

Page Load Overview

14.49s
Total Load Time
62
HTTP Requests
9
Domains
4.1 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:9,871 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain60% confidence
Type: webapp
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
60%
government public service
44%
technology software
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
313.92.223.238Ashburn, Virginia, United States
AS14618AMAZON-AES
1142.250.185.234United States
AS15169GOOGLE
1151.101.2.137San Francisco, California, United States
AS54113FASTLY
1104.17.24.14United States
AS13335CLOUDFLARENET
1142.250.185.195United States
AS15169GOOGLE
123.59.88.49Seattle, Washington, United States
AS20940Akamai International B.V.
1151.101.194.137San Francisco, California, United States
AS54113FASTLY
1104.16.174.226United States
AS13335CLOUDFLARENET
1104.17.25.14United States
AS13335CLOUDFLARENET
1104.16.175.226United States
AS13335CLOUDFLARENET
6232--

Detected Technologies6

JQueryv3.4.1
100%
OWL Carousel
50%
Ubuntu
40%
jsDelivr
20%
jQuery CDN
20%
Cookiebot
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15104542031EB321F0B939AB05651D707AED188C789C528CEB49E5B746FC6D1A4CBE17B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:3FQTeQKclIexQ4UQ4/AQTA6huugS9elPg18stNv0hvHvQEC7Iz/NKkEVlZ0G7PEn:3jgS9117Iz/NMYhygpWs9fkla

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:186775:DYy0BNAAdEECAETnwARAkIB0QYIqB5FBSSWAighlEWLCHdRoMYhQgnQJEIUQjWmsMokhBRQNARoYSRmgAviiLADK8ocJAACF

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:ca37706d9e988c5a
Difference Hash:754f697161e199c1
Wavelet Hash:00a0bcbc3d3de1f5
Color Hash:#783a4c

Other Hashes

Crop Resistant:b3b3b0b7b4b4b4b3,d2c8a8f693dcc1c1,754f617161e199c1

Scan History

Scan history not available

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