Summary
This website contacted 10 IPs in 3 countries across 4 domains to perform 26 HTTP transactions. The main domain is comune.malfa.me.it.
Submitted URL: https://www.comune.malfa.me.it/
AI Security Verdict
Safe Website
Confidence: 85%
The site appears to be a legitimate municipal website with no signs of phishing or malware.
Safety Factors
Details
Page Title
Comune di Malfa - Home
Scan Type
public
Language
Italian
Category
government public service
(94%)Domain Information
You're looking at domain 'www.comune.malfa.me.it' on the Italian country-code top-level domain (.me.it) and includes subdomain 'www.comune'. Its registrable label 'malfa' stretches across 5 characters holding two vowels versus 3 consonants. Breaking it apart gives 2 words: m, alfa. The median word length lands at 2.5 characters. 'm' most strongly signals Catalan. You will also see it in Dutch and Albanian contexts.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 2 | 20.224.231.222 | Amsterdam, North Holland, Netherlands | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 52.178.105.179 | Amsterdam, North Holland, Netherlands | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 2 | 184.24.77.9 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 184.24.77.36 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 104.17.25.14 | Unknown | Unknown |
| 2 | 2a02:26f0:3500:12::1730:178e | Unknown | Unknown |
| 2 | 2a02:26f0:3500:12::1730:17c1 | Unknown | Unknown |
| 2 | 2606:4700::6811:190e | Unknown | Unknown |
| 2 | 2606:4700::6811:180e | Unknown | Unknown |
| 26 | 10 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
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