Summary
This website contacted 11 IPs in 4 countries across 4 domains to perform 52 HTTP transactions. The main domain is bimdelpo.cn.it and was registered NaN years ago.
Submitted URL: https://www.bimdelpo.cn.it/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate regional consortium site with no security concerns.
Safety Factors
Details
Page Title
Consorzio BIM del Po - sito internet istituzionale - Regione Piemonte - Provincia di Cuneo
Scan Type
public
Language
Italian
Category
unknown
(0%)Domain Information
Within the Italian country-code top-level domain (.cn.it), 'www.bimdelpo.cn.it' is registered; it also runs on subdomain 'www'. The second-level label 'bimdelpo' is 8 characters long holding 3 vowels versus 5 consonants. Word splitting yields three words: bim, de, lpo. Median word length comes out to 3 characters. Most frequently, 'bim' shows up in French. Secondary signals appear in Spanish and Romanian. Taken together, it feels French.
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 |
|---|---|---|---|
| 42 | 37.59.136.72 | France | AS16276OVH SAS |
| 8 | 84.240.178.150 | Italy | AS2594CSI Piemonte |
| 4 | 176.9.23.98 | Falkenstein, Saxony, Germany | AS24940Hetzner Online GmbH |
| 4 | 84.240.178.132 | Italy | AS2594CSI Piemonte |
| 4 | 2606:4700::6812:bcf | United States | AS13335CLOUDFLARENET |
| 4 | 84.240.178.144 | Italy | AS2594CSI Piemonte |
| 4 | 104.18.10.207 | United States | AS13335CLOUDFLARENET |
| 4 | 2606:4700::6812:acf | United States | AS13335CLOUDFLARENET |
| 4 | 5.9.68.251 | Falkenstein, Saxony, Germany | AS24940Hetzner Online GmbH |
| 1 | 176.9.63.49 | Falkenstein, Saxony, Germany | AS24940Hetzner Online GmbH |
| 52 | 11 | - | - |
Detected Technologies4
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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