Security Scan Report: www.geologibasilicata.it

Submitted: Dec 17, 2025, 11:35:05 PMCompleted: Dec 17, 2025, 11:40:43 PMpubliccompleted
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Summary

This website contacted 1 IP in 0 countries across 1 domain to perform 3 HTTP transactions. The main domain is geologibasilicata.it and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Well-established domain with long registration history
No suspicious forms or data collection
Unranked in Cisco Umbrella but age and lack of threats indicate legitimacy
Domain age information unavailable

Details

Page Title

Home - Ordine dei Geologi di Basilicata

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(83%)

Domain Information

Domain 'www.geologibasilicata.it' uses the Italian country-code top-level domain (.it), featuring subdomain 'www'. The registrable portion 'geologibasilicata' spans 17 characters holding nine vowels versus eight consonants. Segmentation suggests 3 words: geo, logi, basilicata. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

30.18s
Total Load Time
3
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:768 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software83% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
83%
documentation technical
62%
adult content
53%
government public service
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
378.47.118.76UnknownUnknown
31--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DCE3742017EC1E04512B6780B5816B0E677F4F73F66324B676FF1901FBCE9C8264A66A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:hyc+Lv5ZSZ9fJktNzDWXmO9nK6KwYc+BTQ8iCn5SJWEM/MhVp+8Oq5Tw3fY5YQoT:X+Lv5ZSZ9fJktNzDWXmO9nK6KwYc+BTh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:151902:A1YqCEGwKHFgwCkCcKCAQUPBzQwEIAwEgpZEABkOiZABBQgClARCXgOlEEiUgURQjEGtv4gBIgTFVBDCRHHgyIBDpoBIwNNG

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:cf003f0f1f1f1f00
Perceptual Hash:8ee2719ce8e1e385
Difference Hash:972c4d577e7e706a
Wavelet Hash:ff00331f1f1f1f00
Color Hash:#372d86

Scan History

Scan history not available

Unable to load historical scan data