Summary
This website contacted 15 IPs in 4 countries across 7 domains to perform 166 HTTP transactions. The main domain is univda.it and was registered NaN years ago.
Submitted URL: https://www.univda.it/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Università della Valle d'Aosta - Université de la Vallée d'Aoste
Scan Type
public
Language
Italian
Category
corporate
(70%)Domain Information
You're looking at domain 'www.univda.it' on the Italian country-code top-level domain (.it), featuring subdomain 'www'. The second-level label 'univda' is 6 characters long holding 3 vowels versus three consonants. Segmentation suggests 3 words: uni, vd, a. Average segment length settles at two characters. Most frequently, 'unni' shows up in Hungarian. It also appears in Galician and Portuguese 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 |
|---|---|---|---|
| 12 | 216.239.32.36 | United States | AS15169GOOGLE |
| 11 | 192.0.77.48 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 11 | 35.152.38.193 | Milan, Lombardy, Italy | AS16509AMAZON-02 |
| 11 | 35.152.40.99 | Milan, Lombardy, Italy | AS16509AMAZON-02 |
| 11 | 142.250.186.132 | United States | AS15169GOOGLE |
| 11 | 217.113.213.50 | Pollein, Aosta Valley, Italy | AS21333IN.VA. S.p.A. |
| 11 | 142.250.186.104 | United States | AS15169GOOGLE |
| 11 | 185.152.64.17 | Prague, Prague, Czech Republic | AS60068Datacamp Limited |
| 11 | 216.239.34.36 | United States | AS15169GOOGLE |
| 11 | 2400:52e0:1e05::1204:1 | Czech Republic | AS200325BUNNYWAY, informacijske storitve d.o.o. |
| 166 | 15 | - | - |
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
Scan History
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