Summary
This website contacted 2 IPs in 2 countries across 2 domains to perform 2 HTTP transactions. The main domain is lg.camcom.it and was registered NaN years ago.
Submitted URL: https://www.lg.camcom.it
The Cisco Umbrella rank of the primary domain is #290,987 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site shows no malicious activity, has a long‑standing domain, and is an official subdomain; it is considered legitimate.
Safety Factors
Details
Page Title
Home | CAMERA DI COMMERCIO DELLA MAREMMA E DEL TIRRENO
Scan Type
public
Language
Italian
Category
corporate business
(38%)Domain Information
Within the Italian country-code top-level domain (.it), 'www.lg.camcom.it' is registered; it also runs on subdomain 'www.lg'. The registrable portion 'camcom' spans 6 characters with 2 vowels and four consonants. Breaking it apart gives two words: cam, com. The median word length lands at 3 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 |
|---|---|---|---|
| 32 | 104.20.20.192 | United States | AS13335Cloudflare, Inc. |
| 32 | 80.82.10.68 | Leccio, Tuscany, Italy | AS25569InfoCamere SCpA |
| 64 | 2 | - | - |
Detected Technologies5
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