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

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Submitted: Dec 28, 2025, 5:34:31 AMCompleted: Dec 28, 2025, 5:35:03 AMpubliccompleted
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Summary

This website contacted 5 IPs in 1 country across 5 domains to perform 46 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 shows no security concerns and appears to be a legitimate municipal website.

Safety Factors
Official municipal domain structure
Transparent public information and news items
Absence of credential‑harvesting or payment forms
Domain age information unavailable

Details

Page Title

Città di Follonica

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(42%)

Domain Information

The domain name 'www.comune.follonica.gr.it' uses the Italian country-code top-level domain (.gr.it) with subdomain 'www.comune'. The registrable portion 'follonica' spans 9 characters holding four vowels versus 5 consonants. Tokenizing the label suggests 3 words: fol, lo, nica. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

8.41s
Total Load Time
46
HTTP Requests
0
Domains
N/A
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:8,886 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service42% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
42%
education learning
40%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18104.26.6.229United States
AS13335CLOUDFLARENET
1399.80.82.152UnknownUnknown
12104.26.7.229UnknownUnknown
2185.111.111.154UnknownUnknown
163.35.34.67UnknownUnknown
05--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18EC3E872D2A1517B07A352ECF16FE719F392654DE8D20661F7FC87880BDAE90EA0251C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:VcU4pEHqgDaWZhH3mS19sgxLskyIpz0c93mS19r7iuRpIun1uGoun1uGJJQorzA3:pKk2KkCuODkE0iO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:122814:kBBioAwOhzgEBDQiKRAIIsPcpDQCgCWAMBK0QHRNksrCoqAOwwJmDETAAsABkItQCJQC6kC4w2AhRGGZ2IRgyARoRUQkECSG

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:0000f1f1f1f1c1c1
Perceptual Hash:e81631134679eeea
Difference Hash:dcc7272743839b83
Wavelet Hash:0000f3f3f3f3c3c3
Color Hash:#937a1f

Scan History

Scan history not available

Unable to load historical scan data