Security Scan Report: comune.amalfi.sa.it

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Submitted: Oct 8, 2025, 12:44:19 PMCompleted: Oct 8, 2025, 12:45:17 PMpubliccompleted
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Summary

This website contacted 12 IPs in 3 countries across 5 domains to perform 45 HTTP transactions. The main domain is comune.amalfi.sa.it.

Submitted URL: https://comune.amalfi.sa.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears to be a legitimate municipal website with no security concerns.

Safety Factors
Official municipal domain (comune.amalfi.sa.it)
No malicious Indicators of Compromise matches found
No credential or payment collection forms
Content matches typical government website structure
Domain age information unavailable

Details

Page Title

Città di Amalfi

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

education learning

(28%)

Domain Information

The domain name 'comune.amalfi.sa.it' uses the Italian country-code top-level domain (.sa.it), featuring subdomain 'comune'. Its registrable label 'amalfi' stretches across 6 characters with 3 vowels and 3 consonants. Splitting it apart reveals three words: a, mal, fi. Average segment length settles at 2 characters. 'a' most often appears in Hungarian. You may catch it in Portuguese and Galician as well. Overall, 'comune.amalfi.sa.it' reads as Hungarian.

Screenshot

Security scan screenshot of https://comune.amalfi.sa.it/

Page Load Overview

18.95s
Total Load Time
45
HTTP Requests
5
Domains
3.2 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:7,337 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning28% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
28%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1299.80.82.152Dublin, Leinster, Ireland
AS16509AMAZON-02
3172.67.71.156United States
AS13335CLOUDFLARENET
3104.26.7.229United States
AS13335CLOUDFLARENET
3104.26.6.229United States
AS13335CLOUDFLARENET
363.35.34.67Dublin, Leinster, Ireland
AS16509AMAZON-02
3185.111.111.155Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
399.81.25.153Dublin, Leinster, Ireland
AS16509AMAZON-02
32606:4700:20::681a:6e5UnknownUnknown
32400:52e0:1e00:2::1332:1UnknownUnknown
32606:4700:20::681a:7e5UnknownUnknown
4512--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16FE3B822B3D2205B21A3059FF02A7B38B6183C8DE1870DD6DFBA7B64CB8DDD29535549

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:hbU4pEH9kDaWZhH3mS19sgxLskyIpz0c93mS19r7iuRpIun1uGoun1uGJJQorzAB:w/auBiO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:151155:2EIDQxwhgA0hawlMESWYiURETleQACZjgCggjARmagCBC8TUASAGEkEQBAzkKDYQgkx2bGwGCJCFhAQ5QgEbRuYSmCZKABPJ

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:9ffff1f1f1e1c1c3
Perceptual Hash:e897316a053b666e
Difference Hash:7923232367079b16
Wavelet Hash:00fff1f1f1c1c183
Color Hash:#87abc5

Scan History

Scan history not available

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