Summary
This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is regione.sicilia.it and was registered NaN years ago.
Submitted URL: http://www.regione.sicilia.it
Effective URL: https://www.regione.sicilia.it/Redirected
The Cisco Umbrella rank of the primary domain is #659,349 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 95%
The site is an established government portal with no malicious indicators; low risk.
Risk Factors
Safety Factors
Details
Page Title
| Regione Siciliana
Scan Type
public
Language
Italian
Category
healthcare medical
(77%)Domain Information
You're looking at domain 'www.regione.sicilia.it' on the Italian country-code top-level domain (.sicilia.it); it also runs on subdomain 'www'. The registrable portion 'regione' spans 7 characters containing four vowels alongside 3 consonants. It segments into two words: region, e. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 31 | 35.152.38.193 | Milan, Lombardy, Italy | AS16509Amazon.com, Inc. |
| 31 | 93.45.16.216 | Italy | AS12874Fastweb |
| 62 | 2 | - | - |
Detected Technologies2
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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
Scan History
Scan history not available
Unable to load historical scan data