Summary
This website contacted 5 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is amga.it and was registered NaN years ago.
Submitted URL: https://www.amga.it
AI Security Verdict
Safe Website
Confidence: 84%
The site appears legitimate with minimal risk; no phishing, malware, or scam indicators were found.
Safety Factors
Details
Page Title
| AMGA Legnano S.p.A.
Scan Type
public
Language
Italian
Category
unknown
(0%)Domain Information
The domain name 'www.amga.it' uses the Italian country-code top-level domain (.it), featuring subdomain 'www'. The registrable portion 'amga' spans 4 characters split between two vowels and two consonants. Tokenizing the label suggests two words: amg, a. Median word length is 2 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 |
|---|---|---|---|
| 26 | 142.251.168.95 | United States | AS15169Google LLC |
| 22 | 142.251.127.97 | United States | AS15169Google LLC |
| 22 | 188.114.97.3 | United States | AS13335Cloudflare, Inc. |
| 22 | 217.61.63.97 | Ponte San Pietro, Lombardy, Italy | AS31034Aruba S.p.A. |
| 22 | 151.101.1.155 | United States | AS54113Fastly, Inc. |
| 114 | 5 | - | - |
Detected Technologies9
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