Security Scan Report: comune.gorlaminore.va.it

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Submitted: Jan 18, 2026, 12:57:18 PMCompleted: Jan 18, 2026, 12:58:13 PMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 6 domains to perform 50 HTTP transactions. The main domain is comune.gorlaminore.va.it.

Submitted URL: https://comune.gorlaminore.va.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no apparent security concerns.

Safety Factors
No credential or payment collection forms
Consistent municipal branding and information
No known malicious Indicators of Compromise
Standard informational website without suspicious redirects
Domain age information unavailable

Details

Page Title

Comune di Gorla Minore | Comune di Gorla Minore

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

documentation technical

(95%)

Domain Information

The domain name 'comune.gorlaminore.va.it' uses the Italian country-code top-level domain (.va.it); it also runs on subdomain 'comune'. The core label 'gorlaminore' covers 11 characters split between five vowels and six consonants. Tokenizing the label suggests four words: gor, la, minor, e. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://comune.gorlaminore.va.it/

Page Load Overview

1.70s
Total Load Time
53
HTTP Requests
6
Domains
3.7 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:7,889 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical95% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
95%
government public service
79%
healthcare medical
41%
blog personal website
26%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13104.21.27.152United States
AS13335CLOUDFLARENET
8195.231.24.148Italy
AS31034Aruba S.p.A.
8142.250.184.202France
8104.18.0.22Unknown
8104.17.24.14United States
AS13335CLOUDFLARENET
8141.95.161.68France
AS16276OVH SAS
536--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AE545C31A356202EB533C66670E0ABECA536E247E9530EBCB5ED77244FC7C915623B18

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Zs88vdu7mqujVHEiJ8YOabWGN9cIwUOae5bib80OFy214safyr2xzKbxgZBhiP8s:G88dHW46Ib2Fy2Raqqgmhqa0wrQvekwS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:282226:AyOgxAIgwoikAGAAAZWnNyHUXJgigoDGSELQE5lCqsmBa05BBUFVCiIZE0AQPz8FIRA0FwCgZAROUIyFaISRCQBAQAAiT29A

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:0000fffff7ffc3c3
Perceptual Hash:e40a314b6db6ccb6
Difference Hash:cccf272707671616
Wavelet Hash:0000f3f3f3f3c3c3
Color Hash:#53a2ac

Scan History

Scan history not available

Unable to load historical scan data