Summary
This website contacted 120 IPs in 4 countries across 25 domains to perform 235 HTTP transactions. The main domain is fmsantacecilia.it and was registered NaN years ago.
Submitted URL: https://fmsantacecilia.it/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Home - Fondazione Musicale Santa Cecilia di Portogruaro
Scan Type
public
Language
Italian
Category
education learning
(70%)Domain Information
The domain name 'fmsantacecilia.it' uses the Italian country-code top-level domain (.it) without a subdomain. Its registrable label 'fmsantacecilia' stretches across 14 characters containing 6 vowels alongside 8 consonants. Word splitting yields 3 words: fm, santa, cecilia. Average segment length settles at five characters. Most frequently, 'fm' shows up in Chinese (Pinyin). You will also see it in English and Spanish contexts.
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 |
|---|---|---|---|
| 141 | 86.107.32.187 | Italy | AS52030Server Plan S.r.l. |
| 15 | 192.0.77.48 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 14 | 157.240.231.1 | Rome, Lazio, Italy | AS32934FACEBOOK |
| 13 | 142.250.184.227 | United States | AS15169GOOGLE |
| 12 | 57.144.244.128 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 7 | 172.217.23.110 | United States | AS15169GOOGLE |
| 6 | 185.152.64.17 | Prague, Prague, Czech Republic | AS60068Datacamp Limited |
| 3 | 142.250.181.246 | United States | AS15169GOOGLE |
| 3 | 216.58.206.46 | United States | AS15169GOOGLE |
| 3 | 57.144.244.1 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 235 | 120 | - | - |
Detected Technologies16
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
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