Security Scan Report: www.atoveronese.it

Submitted: Oct 15, 2025, 2:00:58 AMCompleted: Oct 15, 2025, 2:01:54 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 50 HTTP transactions. The main domain is atoveronese.it and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate public website with internal login, no phishing or malware indicators.

Safety Factors
Long‑standing domain registration (2003)
Public sector organization (Consiglio di Bacino Veronese)
Standard Joomla login form without suspicious redirects
Domain age information unavailable

Details

Page Title

Benvenuto in Joomla

Scan Type

public

Language

🇮🇹

Italian

(50% confidence)

Category

government public service

(69%)

Domain Information

The domain 'www.atoveronese.it' uses the Italian country-code top-level domain (.it), featuring subdomain 'www'. The core label 'atoveronese' covers 11 characters with 6 vowels and 5 consonants. Tokenizing the label suggests 3 words: a, to, veronese. Expect two characters per word on average. 'a' is most common in Czech usage. Secondary signals appear in Slovak and Hungarian.

Screenshot

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

Page Load Overview

30.23s
Total Load Time
50
HTTP Requests
1
Domains
2.3 MB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:it
Detection Confidence:50%
Script Type:Latin
Text Length:2,804 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service69% confidence
Type: webapp
Method: ml+structural

All Detected Categories

government public service
69%
social_media
25%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5089.46.110.79Arezzo, Tuscany, Italy
AS31034Aruba S.p.A.
501--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19EF2D622865A1933013795C0F464DB2AB6E2CA0FEE074C48FBED17DDABCEC845D2A55D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:J2fACh5cf+Rohl9iwkSv3x9QjIj7e0eqeiekerelII5e8eBSS:J2fAChmfmohlQwkS/x9QjIj7e0eqeie9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34904:DKsIDEGWGKcwJqAABDU0AcQWIlcIDqIF8QAZYAdCCFBQSQIYzEPRQA4GkFcQSyCXGSCIBkrlZAhWUEjCJDFO4UjAAQiOYAKB

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:20000efff3dfffff
Perceptual Hash:e4656564c79a9a96
Difference Hash:c686b8d426b4a626
Wavelet Hash:000000eee3dfe7ff
Color Hash:#76862d

Scan History

Scan history not available

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