Security Scan Report: comune.amalfi.sa.it

Submitted: Completed: publiccompleted
This website contacted 5 IPs in 4 countries across 5 domains to perform 32 HTTP transactions. The main domain is amalfi.sa.it.

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

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

Safety Factors (4)
HTTPS connection
Absence of forms collecting sensitive data
Official‑looking municipal branding and language
No external links or redirects
Domain age information unavailable

Details

Page Title

Città di Amalfi

Scan Type

public

Domain Name Analysis

The domain 'comune.amalfi.sa.it' uses the Italian country-code top-level domain (.sa.it) with subdomain 'comune'. The registrable portion 'amalfi' spans 6 characters containing three vowels alongside three consonants. Tokenizing the label suggests three words: a, mal, fi. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.35s
Total Load Time
2.0 MB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:it
Text Length:7,619 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media58% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
58%
government public service
38%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
899.80.82.152Dublin, Leinster, Ireland
AS16509AMAZON-02
6185.111.111.158Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
663.35.34.67Dublin, Leinster, Ireland
AS16509AMAZON-02
635.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
6104.26.6.229United States
AS13335CLOUDFLARENET
325--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T177A3C8319265727B03A352ECF16FE714F7E2650CE8D50521EBFD8B880BEAD90D615A1C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:VbU4pEH9QDaWZhH3mS19sgxLskyIpz0c93mS19r7iuRpIun1uGoun1uGJJQorzAq:DfBi0iO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:102156:IaPSCjAkBrj6miwIOUSTSFwlgQHgBA0YwohOwEoZEwGSQl2PBQkAKHUk6OAh5CMTADSCoJBQ0UJGj5UKACwSdTXRMGKIpIM6

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:00fffbf9f9c1c1c3
Perceptual Hash:e897344b4f351635
Difference Hash:7947272343031717
Wavelet Hash:00ffd3f1f1c1c1c1
Color Hash:#d22da1

Scan History

Scan history not available

Unable to load historical scan data