Security Scan Report: www.comune.cecina.li.it

Redirected to:
https://www.comune.cecina.livorno.it/
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Submitted: May 31, 2026, 1:27:28 PMCompleted: May 31, 2026, 1:29:07 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 4 domains to perform 1 HTTP transaction. The main domain is comune.cecina.livorno.it.

Submitted URL: https://www.comune.cecina.li.it

Effective URL: https://www.comune.cecina.livorno.it/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears to be a legitimate municipal portal with no indicators of phishing, malware, or scam activity.

Safety Factors
Government domain (comune.cecina.li.it) with official‑sounding content
Absence of forms, credential collection, or payment processing
No suspicious redirects beyond a single domain change
No brand impersonation in meta tags or page content
Domain age information unavailable

Details

Page Title

Comune di Cecina - Home

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(50%)

Domain Information

The domain 'www.comune.cecina.li.it' uses the Italian country-code top-level domain (.li.it), featuring subdomain 'www.comune'. The core label 'cecina' covers 6 characters split between 3 vowels and three consonants. Breaking it apart gives three words: cec, in, a. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.cecina.li.it

Page Load Overview

4.98s
Total Load Time
78
HTTP Requests
4
Domains
961 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
Text Length:10,339 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
50%
government
40%
entertainment media
39%
education learning
26%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2635.152.38.193Milan, Lombardy, Italy
AS16509Amazon.com, Inc.
26213.171.161.193Frosinone, Lazio, Italy
AS12637SEEWEB s.r.l.
26213.171.166.165Frosinone, Lazio, Italy
AS12637SEEWEB s.r.l.
783--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12034B63047F514BE019782E8B678DB4AFFD2A61BEA961554BAED07C84FE7CD08A4350C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:XDF0pvi6yPkrkZG/6+Uyx2aEjOe48zgGU2sT1HDX0c:pAUvLjOn8Yr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:239735:AwJQqIAo0hBIIYsogVB1nWACiFRCEaIQsNCAAQIGAAEwbgAtkCeYUUDhQWhKIiCiAkQsSsAKSCYmqEISUKUhgEIUGAKFpjpB

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:0000fff7ffffffff
Perceptual Hash:e666111136b6bcce
Difference Hash:dcc3272f4f2a2ad0
Wavelet Hash:000091d3f383efff
Color Hash:#aa79d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data