Summary
This website contacted 3 IPs in 2 countries across 3 domains to perform 2 HTTP transactions. The main domain is na.camcom.gov.it and was registered NaN years ago.
Submitted URL: https://www.na.camcom.gov.it
The Cisco Umbrella rank of the primary domain is #721,381 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 95%
Legitimate government site with low risk; no phishing or malware indicators detected.
Safety Factors
Details
Page Title
| Camera di Commercio Napoli
Scan Type
public
Language
Italian
Category
government public service
(87%)Domain Information
The domain 'www.na.camcom.gov.it' uses the Italian country-code top-level domain (.gov.it) with subdomain 'www.na'. The registrable portion 'camcom' spans 6 characters with 2 vowels and 4 consonants. Splitting it apart reveals two words: cam, com. Median word length is 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 |
|---|---|---|---|
| 26 | 104.21.27.152 | United States | AS13335Cloudflare, Inc. |
| 24 | 80.82.9.97 | Leccio, Tuscany, Italy | AS25569InfoCamere SCpA |
| 24 | 172.66.171.172 | United States | AS13335Cloudflare, Inc. |
| 74 | 3 | - | - |
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