Summary
This website contacted 3 IPs in 2 countries across 3 domains to perform 2 HTTP transactions. The main domain is galserrecalabresi.it and was registered NaN years ago.
Submitted URL: https://www.galserrecalabresi.it
AI Security Verdict
Low Risk
Confidence: 70%
Site appears legitimate with low risk; no phishing, credential harvesting, or malware indicators detected.
Risk Factors
Safety Factors
Details
Page Title
GAL Serre Calabresi – Portale ufficiale del GAL Serre Calabresi
Scan Type
public
Language
Italian
Category
documentation technical
(87%)Domain Information
The domain 'www.galserrecalabresi.it' uses the Italian country-code top-level domain (.it) and includes subdomain 'www'. Count 17 characters in 'galserrecalabresi' holding 7 vowels versus 10 consonants. Word splitting yields five words: gal, serre, cala, bres, i. Median word length comes out to four 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 |
|---|---|---|---|
| 42 | 104.21.7.198 | United States | AS13335Cloudflare, Inc. |
| 41 | 89.46.105.80 | Arezzo, Tuscany, Italy | AS31034Aruba S.p.A. |
| 41 | 192.178.170.95 | United States | AS15169Google LLC |
| 124 | 3 | - | - |
Detected Technologies8
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data