Summary
This website contacted 27 IPs in 3 countries across 8 domains to perform 52 HTTP transactions. The main domain is worldairlineawards.com and was registered NaN years ago.
Submitted URL: https://www.worldairlineawards.com/worlds-best-economy-class-airlines-2025/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
World's Best Economy Class Airlines 2025 | SKYTRAX
Scan Type
public
Language
English
Category
news/blog
(40%)Domain Information
Domain 'www.worldairlineawards.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. Count 18 characters in 'worldairlineawards' split between 7 vowels and 11 consonants. Segmentation suggests three words: world, airline, awards. Median word length comes out to six characters. The linguistic tilt is Chinese (Pinyin) for 'world'. It also appears in English and German 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 |
|---|---|---|---|
| 26 | 185.111.111.154 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 1 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 1 | 18.130.129.227 | London, England, United Kingdom | AS16509AMAZON-02 |
| 1 | 104.16.175.226 | United States | AS13335CLOUDFLARENET |
| 1 | 142.250.186.163 | United States | AS15169GOOGLE |
| 1 | 151.101.2.137 | San Francisco, California, United States | AS54113FASTLY |
| 1 | 52.222.136.87 | United States | AS16509AMAZON-02 |
| 1 | 216.58.212.138 | United States | AS15169GOOGLE |
| 1 | 104.16.174.226 | United States | AS13335CLOUDFLARENET |
| 1 | 52.222.136.113 | United States | AS16509AMAZON-02 |
| 52 | 27 | - | - |
Detected Technologies15
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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