Security Scan Report: www.comune.lamezia-terme.cz.it

Submitted: Dec 16, 2025, 6:26:19 AMCompleted: Dec 16, 2025, 6:26:49 AMpubliccompleted
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Summary

This website contacted 9 IPs in 3 countries across 5 domains to perform 67 HTTP transactions. The main domain is comune.lamezia-terme.cz.it.

Submitted URL: https://www.comune.lamezia-terme.cz.it/it

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

Legitimate municipal site with no security concerns.

Safety Factors
Public municipal website
No collection of sensitive data
No redirects or external links
Domain age information unavailable

Details

Page Title

Città di Lamezia Terme

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

entertainment media

(44%)

Domain Information

The domain 'www.comune.lamezia-terme.cz.it' uses the Italian country-code top-level domain (.cz.it) and includes subdomain 'www.comune'. Its registrable label 'lamezia-terme' stretches across 13 characters containing 6 vowels alongside six consonants, plus 1 hyphen. Tokenizing the label suggests four words: lame, zia, term, e. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.lamezia-terme.cz.it/it

Page Load Overview

12.34s
Total Load Time
67
HTTP Requests
5
Domains
6.3 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:10,265 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media44% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
44%
education learning
27%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1134.120.66.199Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
735.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
735.152.40.99Milan, Lombardy, Italy
AS16509AMAZON-02
734.120.160.141Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
7165.232.93.253Amsterdam, North Holland, Netherlands
AS14061DIGITALOCEAN-ASN
734.120.51.25Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
7188.166.63.236Amsterdam, North Holland, Netherlands
AS14061DIGITALOCEAN-ASN
7104.248.196.220Amsterdam, North Holland, Netherlands
AS14061DIGITALOCEAN-ASN
7188.166.57.74Amsterdam, North Holland, Netherlands
AS14061DIGITALOCEAN-ASN
679--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15A44D6204DF4D02E505380ECB6B4DB0ADBE6E617D94A5D587AED1BAC8FA7DD28C0350E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:1832LH6SGIyJijKIUOR1WDg42gGk+XdRI:1832iJEI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:277723:LWqEwQgKwGDWAoBgjBBCTSIghRAJBpUCGiUJAEBxdGAMA5DiYgMJRoSMgMYBBMAQSYgBXIwUgFPUAMMTFIDFrC0AQRkhhLoE

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:0000ffffffcf0000
Perceptual Hash:ecc513334e4db88e
Difference Hash:ccc427232f1f33f1
Wavelet Hash:0040ffffffef0000
Color Hash:#ac7853

Scan History

Scan history not available

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