Summary
This website contacted 1 IP in 1 country across 1 domain to perform 52 HTTP transactions. The main domain is comune.campospinoso.pv.it.
Submitted URL: https://www.comune.campospinoso.pv.it
Effective URL: https://www.comune.campospinoso.pv.it/it-it/homeRedirected
AI Security Verdict
Moderate Risk
Confidence: 78%
The site appears to be a legitimate municipal page, but unknown domain age, lack of reputation ranking, and highly obfuscated JavaScript raise moderate risk.
Risk Factors
Safety Factors
Details
Page Title
Comune di Campospinoso Albaredo
Scan Type
public
Language
Italian
Category
government public service
(99%)Domain Information
You're looking at domain 'www.comune.campospinoso.pv.it' on the Italian country-code top-level domain (.pv.it), featuring subdomain 'www.comune'. Its registrable label 'campospinoso' stretches across 12 characters with 5 vowels and 7 consonants. Segmentation suggests three words: campos, pino, so. Median word length is 4 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 |
|---|---|---|---|
| 31 | 151.11.50.116 | Florence, Tuscany, Italy | AS24994genesys informatica srl |
| 31 | 1 | - | - |
Detected Technologies3
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data