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Security Scan Report: www.comune.amelia.tr.it

Redirected to:
https://www.comune.amelia.tr.it/it
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Submitted: May 30, 2026, 3:33:11 PMCompleted: May 30, 2026, 3:34:23 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 2 HTTP transactions. The main domain is comune.amelia.tr.it.

Submitted URL: https://www.comune.amelia.tr.it

Effective URL: https://www.comune.amelia.tr.it/itRedirected

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

The site appears to be a legitimate municipal portal with no phishing, credential harvesting, or malware indicators.

Risk Factors
Domain is unranked in Cisco Umbrella (not in top 1M)
High JavaScript obfuscation score (though not linked to malicious activity)
Safety Factors
Meta tags correctly claim the official municipal site and match the domain
Only one harmless form with no password/email fields
No external malicious resources or known phishing kits detected
Standard municipal hosting with reputable external services (analytics, cloud APIs)
Domain age information unavailable

Details

Page Title

Comune di Amelia

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

finance banking

(69%)

Domain Information

The domain name 'www.comune.amelia.tr.it' uses the Italian country-code top-level domain (.tr.it); it also runs on subdomain 'www.comune'. Its registrable label 'amelia' stretches across 6 characters with 4 vowels and two consonants. Splitting it apart reveals one word: amelia. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.amelia.tr.it

Page Load Overview

3.73s
Total Load Time
65
HTTP Requests
5
Domains
4.9 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:4,883 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking69% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
69%
travel tourism
65%
government public service
49%
government
40%
corporate
25%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1734.120.66.199Kansas City, Missouri, United States
AS396982Google LLC
16188.166.57.74Amsterdam, North Holland, Netherlands
AS14061DigitalOcean, LLC
1634.120.160.141Kansas City, Missouri, United States
AS396982Google LLC
1634.120.51.25Kansas City, Missouri, United States
AS396982Google LLC
654--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11514E7215EB4D02E901380ECB6B8D709D6E9D517C44E9C6C7AED6A6C8F93EC68D1360F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:AtcHizjCaRQAUqRbsGGTowTRlmeLxiySH7l:AtcHvPSH7l

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:198991:ACCCQTAECWJ9xgkUhURDGw4AH0gVfC5YcQQwFgIhoBAMIwYIxtCBEISExHESUgjUArhExgZmbEJABIdwCBAA5owRKAINhjcc

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:0000ffffffdb0000
Perceptual Hash:ecc613394346bccd
Difference Hash:9cc72767333b31b1
Wavelet Hash:0000ffffffff0000
Color Hash:#d22d96

Other Hashes

Crop Resistant:9cc72767333b31b1,95c593d6c693c4c4,d048e82333362cae,4b4971b5ccd05021,0f0df23132323210

Scan History

Scan history not available

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