Security Scan Report: www.comune.frabosa-sottana.cn.it

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Submitted: Oct 9, 2025, 3:11:02 AMCompleted: Oct 9, 2025, 3:11:46 AMpubliccompleted
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Summary

This website contacted 44 IPs in 3 countries across 7 domains to perform 57 HTTP transactions. The main domain is comune.frabosa-sottana.cn.it.

Submitted URL: https://www.comune.frabosa-sottana.cn.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

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

Safety Factors
Official municipal website with public service information
No malicious Indicators of Compromise matches found
No credential or payment collection forms present
Content aligns with typical government site structure
Domain age information unavailable

Details

Page Title

Comune di Frabosa Sottana | Comune di Frabosa Sottana

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(79%)

Domain Information

Within the Italian country-code top-level domain (.cn.it), 'www.comune.frabosa-sottana.cn.it' is registered, featuring subdomain 'www.comune'. The core label 'frabosa-sottana' covers 15 characters holding six vowels versus eight consonants, along with 1 hyphen. Splitting it apart reveals six words: fra, bos, a, so, ttan, a. Median word length comes out to 2.5 characters. Most frequently, 'a' shows up in Hungarian. Secondary signals appear in Galician and Portuguese.

Screenshot

Security scan screenshot of https://www.comune.frabosa-sottana.cn.it/

Page Load Overview

10.13s
Total Load Time
57
HTTP Requests
7
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:5,565 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service79% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
79%
documentation technical
42%
education learning
31%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14142.250.186.74United States
AS15169GOOGLE
1142.250.185.74United States
AS15169GOOGLE
1195.231.24.148Lurano, Lombardy, Italy
AS31034Aruba S.p.A.
1104.21.27.152United States
AS13335CLOUDFLARENET
1104.18.1.22United States
AS13335CLOUDFLARENET
1142.250.185.202United States
AS15169GOOGLE
1141.95.161.68France
AS16276OVH SAS
1104.17.25.14United States
AS13335CLOUDFLARENET
1172.217.18.10United States
AS15169GOOGLE
1142.250.185.138United States
AS15169GOOGLE
5744--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E8445C36A646302A7933C62570E0ABECA13AE247E6530EFCB9DD77248FD7C954613B14

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:G88rHT46Ib2Fy2RaqqgmhqSvHfUVoYk1eZ:SHTPXaxgmhhfUVoYk1eZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:254027:p5QiIyISEMIvQBE8YMMGBeAAHQRFgIIMPcPEuwOEUEEQTALgwICCPAQSaZDFEYpC5AEDILAEAE0LRBYgNQCEXIAg6FCEDQLA

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:0000f1f9f3f3c381
Perceptual Hash:ec4339161b99ec66
Difference Hash:ccc7232327c71733
Wavelet Hash:0000f1fff7f3c381
Color Hash:#9e6ce0

Scan History

Scan history not available

Unable to load historical scan data