Summary
This website contacted 14 IPs in 2 countries across 5 domains to perform 142 HTTP transactions. The main domain is comune.almese.to.it.
Submitted URL: https://comune.almese.to.it/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate municipal website with no security concerns.
Safety Factors
Details
Page Title
Comune di Almese - Portale Istituzionale
Scan Type
public
Language
Italian
Category
government public service
(46%)Domain Information
You're looking at domain 'comune.almese.to.it' on the Italian country-code top-level domain (.to.it) with subdomain 'comune'. Its registrable label 'almese' stretches across 6 characters split between 3 vowels and 3 consonants. Splitting it apart reveals two words: alm, ese. The median word length lands at 3 characters. 'alam' most strongly signals Tagalog. You may catch it in Spanish and Galician as well. Net impression: Tagalog phrase.
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 |
|---|---|---|---|
| 12 | 34.147.32.93 | Groningen, Groningen, Netherlands | AS396982GOOGLE-CLOUD-PLATFORM |
| 10 | 35.204.131.193 | Groningen, Groningen, Netherlands | AS396982GOOGLE-CLOUD-PLATFORM |
| 10 | 151.101.130.137 | San Francisco, California, United States | AS54113FASTLY |
| 10 | 151.101.66.137 | San Francisco, California, United States | AS54113FASTLY |
| 10 | 172.66.144.196 | United States | AS13335CLOUDFLARENET |
| 10 | 104.20.46.41 | United States | AS13335CLOUDFLARENET |
| 10 | 2a04:4e42:400::649 | United States | Unknown |
| 10 | 2a04:4e42::649 | United States | Unknown |
| 10 | 2a04:4e42:600::649 | United States | Unknown |
| 10 | 2606:4700:10::ac42:90c4 | United States | Unknown |
| 142 | 14 | - | - |
Detected Technologies10
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
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