Summary
This website contacted 121 IPs in 3 countries across 34 domains to perform 125 HTTP transactions. The main domain is discover.silversea.com and was registered NaN years ago.
Submitted URL: https://discover.silversea.com/destinations/antarctica/crossing-the-drake-passage/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site with no security concerns.
Safety Factors
Details
Page Title
How Crossing the Drake Passage Transports You to Another World | Discover by Silversea
Scan Type
public
Language
English
Category
news/blog
(35%)Domain Information
The domain 'discover.silversea.com' uses the commercial generic top-level domain (.com), featuring subdomain 'discover'. Count 9 characters in 'silversea' holding 4 vowels versus five consonants. Splitting it apart reveals two words: silver, sea. The median word length lands at 4.5 characters. 'silver' most strongly signals Spanish. Usage also turns up in English and Sinhala 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 |
|---|---|---|---|
| 1 | 146.75.122.208 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 1 | 142.250.184.227 | United States | AS15169GOOGLE |
| 1 | 142.250.185.166 | United States | AS15169GOOGLE |
| 1 | 142.250.186.104 | United States | AS15169GOOGLE |
| 1 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 1 | 23.216.77.20 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 104.18.86.42 | United States | AS13335CLOUDFLARENET |
| 1 | 142.250.184.194 | United States | AS15169GOOGLE |
| 1 | 18.172.114.101 | United States | AS16509AMAZON-02 |
| 1 | 216.239.34.36 | United States | AS15169GOOGLE |
| 125 | 121 | - | - |
Detected Technologies17
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
Scan history not available
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