Security Scan Report: www.comune.rapallo.ge.it

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Submitted: Jan 14, 2026, 7:34:48 PMCompleted: Jan 14, 2026, 7:36:19 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is comune.rapallo.ge.it.

Submitted URL: https://www.comune.rapallo.ge.it/

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

Informational municipal page; moderate risk due to unknown domain age and lack of ranking.

Risk Factors
Domain age unknown
Domain not listed in Cisco Umbrella top 1M (unranked)
Safety Factors
No malicious Indicators of Compromise matches found
No credential or payment forms detected
Serves municipal information (Comune di Rapallo)
Uses a regional government TLD (.ge.it)
Presumed HTTPS connection
Domain age information unavailable

Details

Page Title

Comune di Rapallo - Home

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'www.comune.rapallo.ge.it' uses the Italian country-code top-level domain (.ge.it); it also runs on subdomain 'www.comune'. The second-level label 'rapallo' is 7 characters long holding three vowels versus 4 consonants. Tokenizing the label suggests 1 word: rapallo. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.rapallo.ge.it/

Page Load Overview

3.91s
Total Load Time
41
HTTP Requests
2
Domains
781 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:6,425 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21213.171.166.165Frosinone, Lazio, Italy
AS12637SEEWEB s.r.l.
2035.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
412--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T131C3842016F510BA029383ED76BA9B09EFD6991FF4D52854BAEE03585FFBDD0960360C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:gDF0j9A5t8YJRKEPv2ydRt7WgGU2sT1HDXCvl:vcPq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:127021:HCA4AghADiO0EITIABggAWh42AKXJYBMELVFMhSmUAAkJgJYdIEGggCJkAggMZjAYCQAa6CAchlI8ASQ4BRCaCIKWRGwAIKQ

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:0000fff3f3ffffff
Perceptual Hash:ec34131364be9cec
Difference Hash:c4c4362626464bc2
Wavelet Hash:000093d3f3f3a3fb
Color Hash:#ac538a

Scan History

Scan history not available

Unable to load historical scan data