Summary
This website contacted 20 IPs in 2 countries across 12 domains to perform 109 HTTP transactions. The main domain is omio.com and was registered NaN years ago.
Submitted URL: https://www.omio.com/airports/usa/orlando/orlando-international-airport-mco
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate travel information site with no security concerns.
Safety Factors
Details
Page Title
Orlando International Airport MCO: Departures, arrivals and transfers - Omio
Scan Type
public
Language
English
Category
travel tourism
(31%)Domain Information
Within the commercial generic top-level domain (.com), 'www.omio.com' is registered with subdomain 'www'. The second-level label 'omio' is 4 characters long with three vowels and one consonant. Splitting it apart reveals 2 words: o, mio. The median word length lands at 2 characters. 'o' most often appears in Galician. It also appears in Portuguese and Portuguese (Brazil) 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 |
|---|---|---|---|
| 14 | 216.239.34.36 | United States | AS15169GOOGLE |
| 5 | 104.18.32.114 | United States | AS13335CLOUDFLARENET |
| 5 | 216.239.32.36 | United States | AS15169GOOGLE |
| 5 | 142.250.181.232 | United States | AS15169GOOGLE |
| 5 | 150.171.27.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 5 | 34.54.220.109 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 5 | 172.64.155.142 | United States | AS13335CLOUDFLARENET |
| 5 | 34.120.134.254 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 5 | 142.250.185.226 | United States | AS15169GOOGLE |
| 5 | 205.234.175.175 | United States | AS30081CACHENETWORKS |
| 109 | 20 | - | - |
Detected Technologies9
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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