Summary
This website contacted 15 IPs in 2 countries across 4 domains to perform 68 HTTP transactions. The main domain is vi.camcom.it.
Submitted URL: https://www.vi.camcom.it/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears to be a legitimate public institution website with no security concerns.
Safety Factors
Details
Page Title
Camera di Commercio di Vicenza - Camera di Commercio Vicenza
Scan Type
public
Language
Italian
Category
travel tourism
(83%)Domain Information
You're looking at domain 'www.vi.camcom.it' on the Italian country-code top-level domain (.it) with subdomain 'www.vi'. The registrable portion 'camcom' spans 6 characters with 2 vowels and 4 consonants. Tokenizing the label suggests 2 words: cam, com. Average segment length settles at 3 characters. 'cam' is most common in Portuguese usage. You may catch it in Portuguese (Brazil) and Catalan as well. Overall, 'www.vi.camcom.it' reads as Portuguese.
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 |
|---|---|---|---|
| 4 | 213.178.196.192 | Vicenza, Veneto, Italy | AS13097Axera SpA |
| 4 | 104.18.11.207 | United States | AS13335CLOUDFLARENET |
| 4 | 35.152.40.99 | Milan, Lombardy, Italy | AS16509AMAZON-02 |
| 4 | 151.101.66.137 | San Francisco, California, United States | AS54113FASTLY |
| 4 | 2a04:4e42::649 | United States | AS54113FASTLY |
| 4 | 2a04:4e42:600::649 | United States | AS54113FASTLY |
| 4 | 2606:4700::6812:acf | United States | AS13335CLOUDFLARENET |
| 4 | 35.152.38.193 | Milan, Lombardy, Italy | AS16509AMAZON-02 |
| 4 | 2a04:4e42:200::649 | United States | AS54113FASTLY |
| 4 | 2a04:4e42:400::649 | United States | AS54113FASTLY |
| 68 | 15 | - | - |
Detected Technologies8
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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