Summary
This website contacted 2 IPs in 2 countries across 3 domains to perform 2 HTTP transactions. The main domain is openpolis.it and was registered NaN years ago.
Submitted URL: https://openpolis.it
Effective URL: https://www.openpolis.it/Redirected
The Cisco Umbrella rank of the primary domain is #646,498 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 92%
The site appears legitimate, with an old domain, self‑branding, and only a harmless newsletter form.
Safety Factors
Details
Page Title
Openpolis: Liberiamo, raccogliamo e curiamo i dati in Italia
Scan Type
public
Language
Italian
Category
education learning
(64%)Domain Information
The domain name 'openpolis.it' uses the Italian country-code top-level domain (.it) and has no subdomain. Count 9 characters in 'openpolis' with 4 vowels and 5 consonants. It segments into two words: open, polis. Expect 4.5 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 |
|---|---|---|---|
| 27 | 157.245.22.44 | Frankfurt am Main, Hesse, Germany | AS14061DigitalOcean, LLC |
| 27 | 142.251.20.132Google · CDN | United States | AS15169Google LLC |
| 54 | 2 | - | - |
Detected Technologies10
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