Security Scan Report: www.valbelluna.bl.it

Site favicon
Submitted: Jan 3, 2026, 12:53:47 PMCompleted: Jan 3, 2026, 12:55:08 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is valbelluna.bl.it and was registered NaN years ago.

Submitted URL: https://www.valbelluna.bl.it/home

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate regional website with no security concerns.

Safety Factors
Well‑established domain age
No malicious Indicators of Compromise
No sensitive data collection forms
Standard informational website with no phishing cues
Domain age information unavailable

Details

Page Title

Regione Veneto

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

entertainment media

(82%)

Domain Information

Within the Italian country-code top-level domain (.bl.it), 'www.valbelluna.bl.it' is registered; it also runs on subdomain 'www'. Count 10 characters in 'valbelluna' split between 4 vowels and six consonants. Segmentation suggests 3 words: val, bell, una. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.valbelluna.bl.it/home

Page Load Overview

11.96s
Total Load Time
67
HTTP Requests
6
Domains
910 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:16,265 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media82% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
82%
government public service
79%
travel tourism
65%
education learning
63%
healthcare medical
62%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6718.102.176.96Milan, Lombardy, Italy
AS16509AMAZON-02
671--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15023D03A210A1E5E18E7F974C8F392C8CF6567CCA281C66CFCBCBDE6438F5264189815

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:0zvosTDkuoSTrurlwvmMcFjroSH3w4Evuy5+SQSTD4J3yuyBOAMiJHv6xH:0c6kgPk8RctroSH3VQQSAguniJP6xH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:49671:8UsDSCjoAAoAo4IRbYYBrJmoIgddUIZEBVnUijxCB0lQCUwQYo8IQyToAANOFAiTEyAVhBGM9eaRBpBQ0AEUBEALYtoQgxhx

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:0000ffe000ffdbd3
Perceptual Hash:ec533c1243ecd3ac
Difference Hash:cdcd048133373637
Wavelet Hash:0000fff000ffdbdb
Color Hash:#d1d279

Scan History

Scan history not available

Unable to load historical scan data