Summary
This website contacted 11 IPs in 3 countries across 4 domains to perform 117 HTTP transactions. The main domain is ordinemediciavellino.it and was registered NaN years ago.
Submitted URL: https://ordinemediciavellino.it/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site for the Order of Doctors in Avellino with no security concerns.
Safety Factors
Details
Page Title
OMCeO Avellino – Ordine dei Medici Chirurghi e Odontoiatri Avellino
Scan Type
public
Language
Italian
Category
documentation technical
(88%)Domain Information
The domain 'ordinemediciavellino.it' uses the Italian country-code top-level domain (.it). The second-level label 'ordinemediciavellino' is 20 characters long holding 10 vowels versus 10 consonants. Word splitting yields 4 words: or, dine, medici, avellino. Average segment length settles at 5 characters. 'or' most strongly signals Chinese (Pinyin). You will also see it in English and Danish contexts.
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 |
|---|---|---|---|
| 10 | 185.15.59.240 | United States | AS14907WIKIMEDIA |
| 10 | 172.66.171.172 | United States | AS13335CLOUDFLARENET |
| 10 | 104.20.20.192 | United States | AS13335CLOUDFLARENET |
| 10 | 17.253.57.198 | Frankfurt am Main, Hesse, Germany | AS6185APPLE-AUSTIN |
| 10 | 80.88.84.60 | Arezzo, Tuscany, Italy | AS31034Aruba S.p.A. |
| 10 | 2a02:ec80:300:ed1a::2:b | United States | AS14907WIKIMEDIA |
| 10 | 2a01:b740:a10:f100::200 | Frankfurt am Main, Hesse, Germany | AS6185APPLE-AUSTIN |
| 10 | 2a01:b740:a10:f100::206 | Frankfurt am Main, Hesse, Germany | AS6185APPLE-AUSTIN |
| 10 | 2606:4700:10::ac42:abac | United States | AS13335CLOUDFLARENET |
| 10 | 17.253.57.204 | Frankfurt am Main, Hesse, Germany | AS6185APPLE-AUSTIN |
| 117 | 11 | - | - |
Detected Technologies15
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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