Security Scan Report: www.comune.pievedicadore.bl.it

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Submitted: Jan 3, 2026, 5:51:46 AMCompleted: Jan 3, 2026, 5:53:08 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is comune.pievedicadore.bl.it.

Submitted URL: https://www.comune.pievedicadore.bl.it/home

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Official municipal subdomain
No credential or payment collection forms
No malicious Indicators of Compromise
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

Regione Veneto

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(60%)

Domain Information

The domain name 'www.comune.pievedicadore.bl.it' uses the Italian country-code top-level domain (.bl.it), featuring subdomain 'www.comune'. Its registrable label 'pievedicadore' stretches across 13 characters holding seven vowels versus six consonants. Splitting it apart reveals 3 words: pie, vedic, adore. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

10.15s
Total Load Time
67
HTTP Requests
3
Domains
3.0 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
Text Length:17,022 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service60% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
60%
documentation technical
48%
entertainment media
38%
healthcare medical
36%
travel tourism
36%

Detected Features

OG: article

Domain & IP Information

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

Detected Technologies5

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:0000082000ffffff
Perceptual Hash:8212ff7f03d1382d
Difference Hash:cc4dbbc8f333260b
Wavelet Hash:00001f6800ffffff
Color Hash:#8f87c5

Scan History

Scan history not available

Unable to load historical scan data