Security Scan Report: www.comune.gaiola.cn.it

Submitted: Jan 24, 2026, 11:20:01 AMCompleted: Jan 24, 2026, 11:21:12 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 36 HTTP transactions. The main domain is comune.gaiola.cn.it.

Submitted URL: https://www.comune.gaiola.cn.it/

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

Legitimate municipal site with low risk

Safety Factors
Domain appears to be an official municipal website
Content matches local government services (waste collection schedule)
No suspicious forms or scripts detected
Domain age information unavailable

Details

Page Title

Comune di Gaiola - Home Page

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

documentation technical

(86%)

Domain Information

The domain 'www.comune.gaiola.cn.it' uses the Italian country-code top-level domain (.cn.it) and includes subdomain 'www.comune'. Count 6 characters in 'gaiola' containing four vowels alongside two consonants. Breaking it apart gives 2 words: gai, ola. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.gaiola.cn.it/

Page Load Overview

2.74s
Total Load Time
46
HTTP Requests
1
Domains
342 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-IT
Text Length:5,603 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical86% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
86%
government public service
61%
blog personal website
36%
phishing/scam
20%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
46185.77.32.197Cuneo, Piedmont, Italy
AS44920Si.TEK Informatica Srl
461--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A7C3E82446F9143B015342ECB9ACBB85BA96EA1BD24B06A4F3FF47444FD7C849B1362D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Gzh23g787FQrIg7Lt1YBvlaJ+otxaAAVrV8D75F4Nny/bGp8uAl8W11jFgW:GQ3kN1jF7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:121686:MGMsECIwASSHYEg1RAujElAwkKDAoIbBd4BWd6CkVIaCgkgIFjGCCCVMmcgIKhIkIAABNDHkgvHH2LBFIYkIDtGRQpgGRmGs

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:0000400044ffffff
Perceptual Hash:f6618f9e1024b9d3
Difference Hash:84db9f8cd5246553
Wavelet Hash:0000c300e4ffffff
Color Hash:#51783a

Scan History

Scan history not available

Unable to load historical scan data