Security Scan Report: www.comune.predore.bg.it

Submitted: Oct 10, 2025, 10:16:59 AMCompleted: Oct 10, 2025, 10:17:57 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 2 domains to perform 46 HTTP transactions. The main domain is comune.predore.bg.it.

Submitted URL: https://www.comune.predore.bg.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security concerns and appears to be a legitimate municipal website.

Safety Factors
Official municipal domain (comune.predore.bg.it)
No suspicious redirects or external links
No login or payment fields
Domain age information unavailable

Details

Page Title

Home page | Comune di Predore

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'www.comune.predore.bg.it' on the Italian country-code top-level domain (.bg.it); it also runs on subdomain 'www.comune'. Its registrable label 'predore' stretches across 7 characters split between three vowels and 4 consonants. Breaking it apart gives 2 words: pre, dore. The median word length lands at 3.5 characters. 'pre' most often appears in Slovak. You will also see it in Serbian and Lithuanian contexts.

Screenshot

Security scan screenshot of https://www.comune.predore.bg.it/

Page Load Overview

20.81s
Total Load Time
46
HTTP Requests
2
Domains
1.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:5,552 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1535.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
1580.241.142.207Italy
AS12637SEEWEB s.r.l.
1535.152.40.99Milan, Lombardy, Italy
AS16509AMAZON-02
463--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E0B3A661D0F1313A059346F5A3AC9B09AEF5EA53D5120D49F2AE07481FD7FA26E0372E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:JmmMmSmhKtfc7xMCMPMCMfMCM8MCMGMCM/MCMtMCMAsVMJIg42Si43eJ4ZNlnGx0:od1CY7nGxyrzbO5kZEnxHzNNa8C

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:115416:COcgIijJBNFHE4RgpUosEaDYIyBoiBDMFQUFgKARQSQEAbYlgQiIRGQIKAFaCiCAYDhE5IERqAVWQUQQkomAgCIwxVycSCMA

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:0000c00000fbf3ff
Perceptual Hash:ec1387ac1366db43
Difference Hash:c4c608242323272b
Wavelet Hash:0000e0c0f0fff7ff
Color Hash:#2d8386

Scan History

Scan history not available

Unable to load historical scan data