Security Scan Report: www.istitutogervasone.it

Submitted: Oct 10, 2025, 8:42:37 PMCompleted: Oct 10, 2025, 8:43:02 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 33 HTTP transactions. The main domain is istitutogervasone.it and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The site shows no security concerns and is likely a legitimate institutional website.

Safety Factors
Well‑established domain with long registration history
No credential, payment, or suspicious forms present
No malicious Indicators of Compromise detected
Content appears to be a legitimate regional institute
Domain age information unavailable

Details

Page Title

Istituto Gervasone - Chatillon

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'www.istitutogervasone.it' on the Italian country-code top-level domain (.it), featuring subdomain 'www'. Its registrable label 'istitutogervasone' stretches across 17 characters containing eight vowels alongside 9 consonants. Breaking it apart gives eight words: is, t, it, u, to, ger, vas, one. The median word length lands at two characters. 'is' most strongly signals Slovak. You will also see it in Czech and English contexts.

Screenshot

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

Page Load Overview

1.25s
Total Load Time
33
HTTP Requests
1
Domains
291 KB
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:2,315 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3331.11.35.151Arezzo, Tuscany, Italy
AS31034Aruba S.p.A.
331--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18F62E724CBD9411B2319475DEAA0F33CAAD7E68FE7095C0071AC09DEAFC5A884DE215F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:NawJF3GE3y4vLEIiaZayeKagaVLLJD6gyueYAOmS2+ybaQR:NawPPDZoXbVLEgysyZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15330:poACYiIrzQPIBAikmSQBQKAzoACSAZUIQrTT8EAQUJEIwShIICsABAUfEoiIYggaRUlB5hAWCEuDAcxAVjcCgEkYaTNJAAAI

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:001d030100fdfdfd
Perceptual Hash:9a3dc842676b7136
Difference Hash:59717f4d4d7179e9
Wavelet Hash:001f070105fdfdfd
Color Hash:#78663a

Scan History

Scan history not available

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