Security Scan Report: www.geologifvg.it

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Submitted: Dec 12, 2025, 7:06:59 PMCompleted: Dec 12, 2025, 7:08:36 PMpubliccompleted
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Summary

This website contacted 19 IPs in 4 countries across 10 domains to perform 87 HTTP transactions. The main domain is geologifvg.it and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site is a legitimate, long‑standing professional organization page with no security concerns.

Safety Factors
Long‑standing domain registration
Official professional organization website
No suspicious forms or data collection
Domain age information unavailable

Details

Page Title

Ordine dei Geologi Regione Friuli Venezia Giulia – Sito ufficiale dell'Ordine dei Geologi Regione F.V.G.

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

documentation technical

(80%)

Domain Information

The domain name 'www.geologifvg.it' uses the Italian country-code top-level domain (.it) and includes subdomain 'www'. The second-level label 'geologifvg' is 10 characters long containing 4 vowels alongside 6 consonants. Segmentation suggests four words: geo, log, if, vg. 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.geologifvg.it/

Page Load Overview

75.40s
Total Load Time
87
HTTP Requests
10
Domains
2.4 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:5,572 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical80% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
80%
government public service
47%
adult content
30%
corporate
25%
news/blog
20%

Detected Features

Search
Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15104.102.57.58Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
4216.58.209.170United States
AS15169GOOGLE
4192.0.76.3San Francisco, California, United States
AS2635AUTOMATTIC
43.164.206.121United States
AS16509AMAZON-02
4142.251.38.67United States
AS15169GOOGLE
4104.21.27.152United States
AS13335CLOUDFLARENET
4142.251.38.68United States
AS15169GOOGLE
489.46.110.65Arezzo, Tuscany, Italy
AS31034Aruba S.p.A.
42a00:1450:4026:802::200aIreland
AS15169GOOGLE
42606:4700:3037::ac43:8ef5United States
AS13335CLOUDFLARENET
8719--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19573C4730CCC183A455652CCA118F308F19B8C6DDFE609E0ABFA6B44AB85ED8D095D9F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:nBaHIb7h8ne36lMJZ6D9NV9iuagJzvaS43tYsFNFOogrXbLh9/nenev6UY:BaHlMJkD9NxL43tYsFNFOJrXbLh9/neD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:74859:08CDIOO0aTuwrjXc6GUuQj1AMAASCCuiYGwARIQAFCEI1AAAAUBaiwAAt0FogQg4SIRgQt9aJSaRRgXGTtA28D3IuMGLWJQy

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:c381c3c3fbffffff
Perceptual Hash:bc6d36829292c7c7
Difference Hash:0e07071f96161c30
Wavelet Hash:83818381c3cbc7ff
Color Hash:#bf40ac

Scan History

Scan history not available

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