Summary
This website contacted 16 IPs in 3 countries across 7 domains to perform 161 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: 92%
The site appears to be the legitimate university website with no phishing or malware indicators.
Safety Factors
Details
Page Title
Università della Valle d'Aosta - Université de la Vallée d'Aoste
Scan Type
public
Language
Italian
Category
government public service
(88%)Domain Information
The domain 'www.univda.it' uses the Italian country-code top-level domain (.it) with subdomain 'www'. The registrable portion 'univda' spans 6 characters holding 3 vowels versus three consonants. Breaking it apart gives three words: uni, vd, a. Expect 2 characters per word on average. 'unni' most often appears in Hungarian. You will also see it in Galician and Portuguese contexts. Overall, 'www.univda.it' reads as Hungarian.
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 |
|---|---|---|---|
| 11 | 35.152.38.193 | Milan, Lombardy, Italy | AS16509AMAZON-02 |
| 10 | 142.250.185.72 | United States | AS15169GOOGLE |
| 10 | 142.250.184.228 | United States | AS15169GOOGLE |
| 10 | 216.239.34.36 | United States | AS15169GOOGLE |
| 10 | 185.152.64.17 | Prague, Prague, Czech Republic | AS60068Datacamp Limited |
| 10 | 217.113.213.50 | Pollein, Aosta Valley, Italy | AS21333IN.VA. S.p.A. |
| 10 | 192.0.77.48 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 10 | 2001:4860:4802:32::36 | Unknown | Unknown |
| 10 | 2a00:1450:4001:80b::2008 | Unknown | Unknown |
| 10 | 2a00:1450:4001:831::2004 | Unknown | Unknown |
| 161 | 16 | - | - |
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
Scan history not available
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