Summary
This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is site.unibo.it and was registered NaN years ago.
Submitted URL: https://adu.unibo.it
Effective URL: https://site.unibo.it/advanceddesignunit/itRedirected
The Cisco Umbrella rank of the primary domain is #121,955 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate university research page with no malicious activity detected.
Safety Factors
Details
Page Title
Advanced Design Unit — research
Scan Type
public
Language
Italian
Category
government public service
(41%)Domain Information
The domain 'adu.unibo.it' uses the Italian country-code top-level domain (.it) and includes subdomain 'adu'. The second-level label 'unibo' is 5 characters long containing three vowels alongside two consonants. Breaking it apart gives 2 words: uni, bo. Average segment length settles at 2.5 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 |
|---|---|---|---|
| 21 | 137.204.24.209 | Rimini, Emilia-Romagna, Italy | AS137Consortium GARR |
| 20 | 188.213.171.84 | Arezzo, Tuscany, Italy | AS31034Aruba S.p.A. |
| 41 | 2 | - | - |
Detected Technologies5
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
Scan History
Scan history not available
Unable to load historical scan data