Summary
This website contacted 16 IPs in 3 countries across 7 domains to perform 61 HTTP transactions. The main domain is provincia.biella.it and was registered NaN years ago.
Submitted URL: https://www.provincia.biella.it/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Provincia di Biella
Scan Type
public
Language
Italian
Category
unknown
(0%)Domain Information
The domain name 'www.provincia.biella.it' uses the Italian country-code top-level domain (.biella.it), featuring subdomain 'www'. The core label 'provincia' covers 9 characters with 4 vowels and five consonants. Breaking it apart gives one word: provincia. Expect nine characters per word on average. 'provincia' is most common in Galician usage. You will also see it in Italian and Spanish contexts. Taken together, it feels Galician with single-word simplicity.
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 |
|---|---|---|---|
| 16 | 172.66.144.196 | United States | AS13335CLOUDFLARENET |
| 3 | 77.242.177.47 | Biella, Piedmont, Italy | AS42669Citta' Studi S.p.A. |
| 3 | 104.20.46.41 | United States | AS13335CLOUDFLARENET |
| 3 | 23.36.162.211 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 35.152.38.193 | Milan, Lombardy, Italy | AS16509AMAZON-02 |
| 3 | 23.36.162.220 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 23.56.205.206 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 3 | 2.17.190.7 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 3 | 2a02:26f0:3500:18::1724:a29a | Unknown | Unknown |
| 3 | 2a02:26f0:3500:18::1724:a29d | Unknown | Unknown |
| 61 | 16 | - | - |
Detected Technologies5
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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