Security Scan Report: www.comune.follonica.gr.it

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Submitted: Oct 10, 2025, 8:56:13 PMCompleted: Oct 10, 2025, 8:56:47 PMpubliccompleted
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Summary

This website contacted 12 IPs in 3 countries across 6 domains to perform 47 HTTP transactions. The main domain is comune.follonica.gr.it.

Submitted URL: https://www.comune.follonica.gr.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site is a legitimate municipal portal with no security concerns.

Safety Factors
Official municipal website
No credential or payment collection forms
No malicious Indicators of Compromise detected
Standard public service content only
Domain age information unavailable

Details

Page Title

Città di Follonica

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(84%)

Domain Information

Within the Italian country-code top-level domain (.gr.it), 'www.comune.follonica.gr.it' is registered with subdomain 'www.comune'. The second-level label 'follonica' is 9 characters long split between four vowels and five consonants. It segments into three words: fol, lo, nica. The median word length lands at three characters. Most frequently, 'folk' shows up in Spanish. Secondary signals appear in Italian and Catalan.

Screenshot

Security scan screenshot of https://www.comune.follonica.gr.it/

Page Load Overview

10.51s
Total Load Time
47
HTTP Requests
6
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:8,715 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service84% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
84%
blog personal website
28%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1499.80.82.152Dublin, Leinster, Ireland
AS16509AMAZON-02
3172.67.71.156United States
AS13335CLOUDFLARENET
3104.26.6.229United States
AS13335CLOUDFLARENET
363.35.34.67Dublin, Leinster, Ireland
AS16509AMAZON-02
399.81.25.153Dublin, Leinster, Ireland
AS16509AMAZON-02
3104.26.7.229United States
AS13335CLOUDFLARENET
3185.111.111.157Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
32606:4700:20::681a:6e5United States
AS13335CLOUDFLARENET
32400:52e0:1e00:2::1328:1Germany
AS60068Datacamp Limited
32606:4700:20::ac43:479cUnited States
AS13335CLOUDFLARENET
4712--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C1F3C812A3D2106B12A3069FF02A7B38B6183C8EE5830DD6ABFE7764CB8DDD1953554D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:hcU4pEHPkDaWZhH3mS19sgxLskyIpz0c93mS19r7iuRpIun1uGoun1uGJJQorzAi:ZKkaKkAUwhLkBBiO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:169583:YAIuRCgBKyABACSQwiY9LCrkXQYTyQUibJAkheacoNEpNYKEgcqIqYBF28DVKEQnqLIIGohMIMAEFDkQRoYAAgBAICVdelhU

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:0000fffffbf3c3c3
Perceptual Hash:e817304e4eb1caed
Difference Hash:dccc333743079797
Wavelet Hash:0000fffff1c3c3c1
Color Hash:#78663a

Scan History

Scan history not available

Unable to load historical scan data