Summary
This website contacted 3 IPs in 2 countries across 3 domains to perform 84 HTTP transactions. The main domain is comune.sanlorenzodisebato.bz.it.
Submitted URL: https://www.comune.sanlorenzodisebato.bz.it/de
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate municipal site with no security concerns
Safety Factors
Details
Page Title
Gemeinde St. Lorenzen - Startseite
Scan Type
public
Language
German
Category
government public service
(91%)Domain Information
Domain 'www.comune.sanlorenzodisebato.bz.it' uses the Italian country-code top-level domain (.bz.it); it also runs on subdomain 'www.comune'. Count 18 characters in 'sanlorenzodisebato' split between eight vowels and 10 consonants. Word splitting yields 6 words: san, lorenzo, di, seb, a, to. Median word length is 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 |
|---|---|---|---|
| 25 | 52.155.171.125 | Dublin, Leinster, Ireland | AS8075Microsoft Corporation |
| 25 | 85.31.14.36 | Wels, Upper Austria, Austria | AS21013eww ag |
| 25 | 20.107.132.93 | Dublin, Leinster, Ireland | AS8075Microsoft Corporation |
| 75 | 3 | - | - |
Detected Technologies7
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
Scan history not available
Unable to load historical scan data