Summary
This website contacted 4 IPs in 1 country across 4 domains to perform 48 HTTP transactions. The main domain is comune.bussisultirino.pe.it.
Submitted URL: https://www.comune.bussisultirino.pe.it/it
AI Security Verdict
Safe Website
Confidence: 95%
The site shows a legitimate municipal notice with no security concerns.
Safety Factors
Details
Page Title
Comune di Bussi sul Tirino
Scan Type
public
Language
Italian
Category
government public service
(81%)Domain Information
Domain 'www.comune.bussisultirino.pe.it' uses the Italian country-code top-level domain (.pe.it), featuring subdomain 'www.comune'. The registrable portion 'bussisultirino' spans 14 characters split between six vowels and 8 consonants. Breaking it apart gives 6 words: buss, is, ul, tir, in, o. Median word length is two 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 |
|---|---|---|---|
| 26 | 34.120.66.199 | Unknown | Unknown |
| 18 | 34.36.220.202 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 34.120.160.141 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 188.166.57.74 | Unknown | Unknown |
| 0 | 4 | - | - |
Detected Technologies2
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