Summary
This website contacted 4 IPs in 3 countries across 3 domains to perform 49 HTTP transactions. The main domain is comune.luserna.to.it.
Submitted URL: https://www.comune.luserna.to.it/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate municipal website with no apparent security risks.
Safety Factors
Details
Page Title
Comune di Luserna San Giovanni - sito internet istituzionale - Regione Piemonte - Provincia di Torino
Scan Type
public
Language
Italian
Category
unknown
(0%)Domain Information
Domain 'www.comune.luserna.to.it' uses the Italian country-code top-level domain (.to.it) and includes subdomain 'www.comune'. The registrable portion 'luserna' spans 7 characters containing 3 vowels alongside 4 consonants. Word splitting yields 2 words: lu, serna. Expect 3.5 characters per word on average. 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 |
|---|---|---|---|
| 14 | 5.9.82.93 | Falkenstein, Saxony, Germany | AS24940Hetzner Online GmbH |
| 13 | 37.59.136.72 | France | AS16276OVH SAS |
| 13 | 104.18.10.207 | United States | AS13335CLOUDFLARENET |
| 13 | 104.18.11.207 | Unknown | Unknown |
| 53 | 4 | - | - |
Detected Technologies3
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
Scan History
Scan history not available
Unable to load historical scan data