Summary
This website contacted 18 IPs in 4 countries across 8 domains to perform 62 HTTP transactions. The main domain is asl2abruzzo.it and was registered NaN years ago.
Submitted URL: https://www.asl2abruzzo.it/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate regional health website with no security concerns.
Safety Factors
Details
Page Title
Home page | ASL2 Abruzzo
Scan Type
public
Language
Italian
Category
healthcare medical
(73%)Domain Information
You're looking at domain 'www.asl2abruzzo.it' on the Italian country-code top-level domain (.it); it also runs on subdomain 'www'. The registrable portion 'asl2abruzzo' spans 11 characters split between four vowels and 6 consonants, plus 1 digit. Breaking it apart gives 3 words: asl, 2, abruzzo. Median word length is three 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 |
|---|---|---|---|
| 11 | 185.152.64.17 | Prague, Prague, Czech Republic | AS60068Datacamp Limited |
| 3 | 52.92.19.208 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 3 | 185.111.111.155 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 3 | 95.174.19.172 | Milan, Lombardy, Italy | AS12637SEEWEB s.r.l. |
| 3 | 3.5.68.166 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 3 | 185.111.111.154 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 3 | 35.152.40.99 | Milan, Lombardy, Italy | AS16509AMAZON-02 |
| 3 | 35.152.38.193 | Milan, Lombardy, Italy | AS16509AMAZON-02 |
| 3 | 185.111.111.158 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 3 | 3.5.67.215 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 62 | 18 | - | - |
Detected Technologies5
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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