Summary
This website contacted 2 IPs in 1 country across 2 domains to perform 47 HTTP transactions. The main domain is ostetrichesassari.it and was registered NaN years ago.
Submitted URL: https://www.ostetrichesassari.it/
Effective URL: https://www.ostetrichesassari.it/R_Index.cfmRedirected
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site with no apparent security risks.
Safety Factors
Details
Page Title
ORDINE DELLA PROFESSIONE DI OSTETRICA DELLA PROVINCIA DI SASSARI - Home Page
Scan Type
public
Language
Italian
Category
government public service
(62%)Domain Information
The domain 'www.ostetrichesassari.it' uses the Italian country-code top-level domain (.it); it also runs on subdomain 'www'. Its registrable label 'ostetrichesassari' stretches across 17 characters holding seven vowels versus ten consonants. It segments into 5 words: ost, et, ric, he, sassari. The median word length lands at 3 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 |
|---|---|---|---|
| 24 | 216.58.206.67 | United States | |
| 23 | 5.172.176.111 | St Louis, Missouri, United States | AS7393CYBERCON |
| 47 | 2 | - | - |
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
Scan history not available
Unable to load historical scan data