Security Scan Report: www.appianiturazza.it

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Submitted: Jan 11, 2026, 5:07:59 PMCompleted: Jan 11, 2026, 5:09:29 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 71 HTTP transactions. The main domain is appianiturazza.it and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security concerns and appears legitimate.

Safety Factors
Established domain with long registration history
No suspicious forms or data collection
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Appiani Turazza – Asilo , Nido , Scuola Infanzia , Treviso

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(95%)

Domain Information

The domain name 'www.appianiturazza.it' uses the Italian country-code top-level domain (.it); it also runs on subdomain 'www'. The core label 'appianiturazza' covers 14 characters with 7 vowels and seven consonants. Tokenizing the label suggests 4 words: appiani, tu, razz, a. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

9.69s
Total Load Time
114
HTTP Requests
6
Domains
3.2 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:8,585 chars
Detector Agreement:50%

Website Classification

Primary Category

government public service95% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
95%
education learning
87%
news/blog
20%

Detected Features

Articles
Comments

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3862.138.0.210Strasbourg, Grand Est, France
AS29066velia.net Internetdienste GmbH
38142.250.186.138France
38142.251.141.67Ireland
1143--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C2F32930B9071A3B621F06DFB087B34DB2A6C656D64299E5F5FE012C97F4CA0329774A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ZbJ7s3W0VD6TG1sNsdCfJUo1k6IDIhdHTPqgCV9m7iAPR9VHHwVRKaa2R7lIxYUS:P7YW0VD6eo1kp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:162623:sqCgWBgoEJDPgyDDBOAgsKVBBBJKCGAgoIAQIDALgGIQRACSMLGGFBQoAiQSgTVWRgaIiiLGgCTVYPQQICQAnxRohgfAAOJK

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:ffff0003010000ff
Perceptual Hash:a68dd35aa305566d
Difference Hash:cde926ee2f2c338d
Wavelet Hash:ffff8307030000ff
Color Hash:#d279a7

Scan History

Scan history not available

Unable to load historical scan data