Summary
This website contacted 3 IPs in 2 countries across 3 domains to perform 61 HTTP transactions. The main domain is unioneareanord.mo.it and was registered NaN years ago.
Submitted URL: https://www.unioneareanord.mo.it/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government site with no security concerns detected.
Safety Factors
Details
Page Title
Unione Comuni Modenesi Area Nord - Unione Comuni Modenesi Area Nord
Scan Type
public
Language
Italian
Category
government public service
(96%)Domain Information
Domain 'www.unioneareanord.mo.it' uses the Italian country-code top-level domain (.mo.it) with subdomain 'www'. The core label 'unioneareanord' covers 14 characters split between eight vowels and six consonants. Word splitting yields 3 words: unione, area, nord. Expect 4 characters per word on average. 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 |
|---|---|---|---|
| 20 | 15.161.77.42 | Milan, Lombardy, Italy | AS16509AMAZON-02 |
| 18 | 35.152.40.99 | Milan, Lombardy, Italy | AS16509AMAZON-02 |
| 18 | 116.202.226.240 | Falkenstein, Saxony, Germany | AS24940Hetzner Online GmbH |
| 56 | 3 | - | - |
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
Scan History
Scan history not available
Unable to load historical scan data