Security Scan Report: www.istitutozirafa.it

Submitted: Jan 15, 2026, 7:32:12 PMCompleted: Jan 15, 2026, 7:33:45 PMpubliccompleted
Loading additional data...

Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 43 HTTP transactions. The main domain is istitutozirafa.it and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate informational site with no security concerns detected.

Safety Factors
Established domain (>9 years)
No credential or payment collection forms
No malicious Indicators of Compromise
Standard informational content
Standard hosting environment
Domain age information unavailable

Details

Page Title

Istituto Zirafa – Serietà e Professionalità

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(97%)

Domain Information

You're looking at domain 'www.istitutozirafa.it' on the Italian country-code top-level domain (.it); it also runs on subdomain 'www'. The registrable portion 'istitutozirafa' spans 14 characters holding 7 vowels versus 7 consonants. It segments into seven words: is, t, it, u, to, zira, fa. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.22s
Total Load Time
42
HTTP Requests
3
Domains
1.6 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:2,375 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service97% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
97%
healthcare medical
88%
adult content
66%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1489.46.105.44Arezzo, Tuscany, Italy
AS31034Aruba S.p.A.
14142.251.141.99United States
AS15169GOOGLE
14142.250.185.138United States
AS15169GOOGLE
423--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BD331A3165E4602691DBC3C4F276F718A696E30ACA034B5837FC62689FC5CF6949734E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:s3n0HZdapKe/BaWW5Lccl9uAVKnV3dg/EX3JsFp3uvIOR:s3IappBaWWOcl9u06V3dn3JsFp3uv5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:54859:EGQwRQQIFGaFhrYLijEDgwtagAWyYA0C4AI2GDkg4aAECaFDgGVCYUqcnIFGWIhkQoghBYYIACHIYJpoEC7YCwxtEhRhDgYV

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:ff0d00000009ffff
Perceptual Hash:8008ef9924e761ff
Difference Hash:e699dbb6dd994949
Wavelet Hash:ff050000030fffff
Color Hash:#4d862d

Scan History

Scan history not available

Unable to load historical scan data