Summary
This website contacted 3 IPs in 2 countries across 3 domains to perform 94 HTTP transactions. The main domain is nuovocircondarioimolese.it and was registered NaN years ago.
Submitted URL: https://www.nuovocircondarioimolese.it/
AI Security Verdict
Safe Website
Confidence: 92%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Nuovo Circondario Imolese - Nuovo Circondario Imolese
Scan Type
public
Language
Italian
Category
social media network
(92%)Domain Information
The domain 'www.nuovocircondarioimolese.it' uses the Italian country-code top-level domain (.it) and includes subdomain 'www'. Its registrable label 'nuovocircondarioimolese' stretches across 23 characters containing 12 vowels alongside eleven consonants. Tokenizing the label suggests seven words: nuovo, circo, n, dario, i, moles, e. The median word length lands at five 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 |
|---|---|---|---|
| 35 | 15.161.77.42 | Milan, Lombardy, Italy | AS16509AMAZON-02 |
| 33 | 35.152.40.99 | Italy | AS16509AMAZON-02 |
| 33 | 116.202.226.240 | Falkenstein, Saxony, Germany | AS24940Hetzner Online GmbH |
| 101 | 3 | - | - |
Detected Technologies4
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
Scan History
Scan history not available
Unable to load historical scan data