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

Submitted: Jun 1, 2026, 1:39:02 AMCompleted: Jun 1, 2026, 1:40:12 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is comune.gorle.bg.it.

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site shows no malicious indicators, lacks forms or credential collection, and matches a legitimate municipal domain; it is considered safe.

Safety Factors
Absence of forms or credential collection
No malicious indicators from threat intelligence
No malicious JavaScript behavior detected
Domain structure aligns with legitimate government sites
Content appears to be municipal information
Domain age information unavailable

Details

Page Title

Comune di Gorle - Homepage

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'www.comune.gorle.bg.it' uses the Italian country-code top-level domain (.bg.it) with subdomain 'www.comune'. Its registrable label 'gorle' stretches across 5 characters with 2 vowels and three consonants. Word splitting yields 2 words: gor, le. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

3.43s
Total Load Time
41
HTTP Requests
1
Domains
1.2 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
Text Length:4,096 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
41185.199.48.101Italy
AS205985Halley Informatica srl
411--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CB8322B351F0107F4297C1D9BA74EB0AAE92964FCD8B4A95B2EE0B841FD7CC1990351D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:5LUh8Qwd1KkM5VrBRVdJ3FNacZVmVaVYVyVrr/bM+nHiwqX:Tv1KT5VrBRxFNacZksS4dr/bMTX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:83932:BAhGTEF7QQSBtgSGJDSEAjSALNCgAyQhIgRBxMoEspAVMCAOGlAwQCAgivAEAAhkJYEgNkAMG4ESvp4C9wKIA2wdPFF6QAVs

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:0000f1f1f3ff0000
Perceptual Hash:ee6c119162ecbc6c
Difference Hash:9c87232327508113
Wavelet Hash:0000f1f1fffff900
Color Hash:#ac8b53

Scan History

Scan history not available

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