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

Submitted: Jan 27, 2026, 12:01:15 AMCompleted: Jan 27, 2026, 12:02:32 AMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 5 domains to perform 1 HTTP transaction. The main domain is comune.lamezia-terme.cz.it.

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

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

Site lacks obvious threats but unknown age and unranked domain warrant caution.

Risk Factors
Unknown domain age
Unranked domain (low reputation)
Suspicious subdomain pattern
Garbage OCR text suggesting possible content manipulation
Safety Factors
No credential or payment forms present
No redirects detected
No malicious Indicators of Compromise matches
Meta description aligns with official city name
Domain age information unavailable

Details

Page Title

Città di Lamezia Terme

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(77%)

Domain Information

Within the Italian country-code top-level domain (.cz.it), 'www.comune.lamezia-terme.cz.it' is registered with subdomain 'www.comune'. The second-level label 'lamezia-terme' is 13 characters long holding six vowels versus six consonants, along with one hyphen. It segments into 4 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

6.68s
Total Load Time
66
HTTP Requests
5
Domains
5.7 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:8,811 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service77% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
77%
documentation technical
46%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1434.120.51.25Kansas City, Missouri, United States
AS396982Google LLC
1335.152.38.193Milan, Lombardy, Italy
AS16509Amazon.com, Inc.
1334.120.160.141Kansas City, Missouri, United States
AS396982Google LLC
13104.248.196.220Amsterdam, North Holland, Netherlands
AS14061DigitalOcean, LLC
1334.120.66.199Kansas City, Missouri, United States
AS396982Google LLC
665--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16C34E7205DF4D02E505380ECB6B4D70ADAE6D617C88A5D5C79ED2BAC8FA7DD28D0360E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:4f5b0ti7n8329ekN0hAa1bc09bM4dKIICMryMG1WDg42gGk+XdHRibapmER4Klv7:W832MQo/4WtdKIUOR1WDg42gGk+XdkI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:242350:CvRBQxcMJOAEBIRcAWDgAAFgkAzMUADJVohqwEKLgBwQoQIRFQJbDpMYCU1KDFUJSoBLVAQGUARigwguOETAKIgIuQoGUAOS

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:0000f3f3ffdf0000
Perceptual Hash:ece31318436fbc46
Difference Hash:dcc72723273733f1
Wavelet Hash:0041f3ffffff0000
Color Hash:#9a6ce0

Scan History

Scan history not available

Unable to load historical scan data