Security Scan Report: www.geologivda.it

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Submitted: Jan 6, 2026, 1:37:36 PMCompleted: Jan 6, 2026, 1:38:50 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 62 HTTP transactions. The main domain is geologivda.it and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security concerns and appears legitimate.

Safety Factors
Domain age of over 18 years (well established)
No malicious Indicators of Compromise matches found
No credential or payment forms detected
Content appears to be a legitimate professional association
Domain age information unavailable

Details

Page Title

Ordine dei Geologi della Valle d'Aosta - Notizie

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

documentation technical

(88%)

Domain Information

Within the Italian country-code top-level domain (.it), 'www.geologivda.it' is registered, featuring subdomain 'www'. The registrable portion 'geologivda' spans 10 characters containing five vowels alongside 5 consonants. Breaking it apart gives 4 words: geo, log, iv, da. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

6.81s
Total Load Time
59
HTTP Requests
2
Domains
2.3 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:3,462 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical88% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
88%
government public service
63%
real estate property
61%
blog personal website
46%
adult content
27%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
30142.251.141.65United States
AS15169GOOGLE
2989.46.69.191Arezzo, Tuscany, Italy
AS31034Aruba S.p.A.
592--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10623E53284F52833026345D8A7613B5ABEE1D607DA476C44BAFC0FA94FDADD1C86B20D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:dLqM5hbd4BIHYBU8ABZy2kTGqBsdDqESEESVESqbDoLDEhTgC9O4PM4cDjCAA5Yt:dxpByNBwMbD+Eh9gAM4cDj3gvsi6f0Kz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:49693:MHpwAAyJAR4qRIBEVIRghCwSpADoiFQiSsRNcEgiAVEDFBEkSgYaRi80EKk7BVFgMJoIDUxA4EB0gAAIQoE9VJhABroJAxhY

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:ffc78181c3ffe7c3
Perceptual Hash:b99bc1c3698b646c
Difference Hash:131f3b3b2b680e96
Wavelet Hash:ebc3818181ffc3c3
Color Hash:#3e783a

Scan History

Scan history not available

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