Summary
This website contacted 2 IPs in 2 countries across 2 domains to perform 2 HTTP transactions. The main domain is lnx.pubblitesi.it and was registered NaN years ago.
Submitted URL: https://lnx.pubblitesi.it/index.php/feeds/area-scientifica/generali-e-multidisciplinari/14-sciencedaily
AI Security Verdict
Safe Website
Confidence: 92%
The site appears to be a legitimate academic document repository with no malicious indicators.
Safety Factors
Details
Page Title
PubbliTesi - ScienceDaily - PubbliTesi
Scan Type
public
Language
Italian
Category
healthcare medical
(71%)Domain Information
You're looking at domain 'lnx.pubblitesi.it' on the Italian country-code top-level domain (.it) with subdomain 'lnx'. Its registrable label 'pubblitesi' stretches across 10 characters containing 4 vowels alongside 6 consonants. Tokenizing the label suggests four words: pub, b, lites, i. 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 |
|---|---|---|---|
| 18 | 89.46.109.134 | Arezzo, Tuscany, Italy | AS31034Aruba S.p.A. |
| 18 | 172.67.75.166Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 36 | 2 | - | - |
Detected Technologies7
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