Security Scan Report: www.geompe.it

Submitted: Jan 7, 2026, 8:47:11 AMCompleted: Jan 7, 2026, 8:48:27 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 64 HTTP transactions. The main domain is geompe.it and was registered NaN years ago.

Submitted URL: https://www.geompe.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain age
Absence of malicious Indicators of Compromise
No suspicious forms or data collection
Domain age information unavailable

Details

Page Title

Collegio dei Geometri e dei Geometri Laureati della Provincia di Pescara – Collegio dei Geometri e dei Geometri Laureati della Provincia di Pescara

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

documentation technical

(95%)

Domain Information

The domain name 'www.geompe.it' uses the Italian country-code top-level domain (.it); it also runs on subdomain 'www'. The registrable portion 'geompe' spans 6 characters containing 3 vowels alongside 3 consonants. It segments into three words: geo, mp, e. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.geompe.it/

Page Load Overview

6.33s
Total Load Time
64
HTTP Requests
1
Domains
1.9 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-IT
Text Length:3,791 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical95% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
95%
technology software
58%
government public service
51%
education learning
49%
finance banking
39%

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6489.46.110.37Arezzo, Tuscany, Italy
AS31034Aruba S.p.A.
641--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T137E30AA6B0D140361253827C71A4F73ADA2E614AD6892F71F2BD237C1FA5EC74667B0C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:5oisap8uTf0LLLLgiEVWdeCxLA25twUsp+Uz4PR9zcM:y+WuTf0LLLL5EaTLA25twVpfz4PR9zcM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:155512:AoiADKoA4ASZtgIVAgaRIAE4BQkUQAAWQohBCZgCRUQkAAQDEkBAkwWuQBBQd0havWEQaOCECEQUABFUBMAIcWkFLgwsIFAB

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:0000ffffffffff00
Perceptual Hash:b87142c74cb3b8bc
Difference Hash:c6c43038352b2871
Wavelet Hash:0000dfffffff0400
Color Hash:#93781f

Scan History

Scan history not available

Unable to load historical scan data