Summary
This website contacted 291 IPs in 10 countries across 112 domains to perform 443 HTTP transactions. The main domain is visitflorida.com and was registered NaN years ago.
Submitted URL: https://www.visitflorida.com/listing/orlando-international-airport/25760/
AI Security Verdict
Safe Website
Confidence: 95%
The page appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Orlando International Airport in Orlando | VISIT FLORIDA
Scan Type
public
Language
English
Category
travel tourism
(35%)Domain Information
Within the commercial generic top-level domain (.com), 'www.visitflorida.com' is registered; it also runs on subdomain 'www'. The core label 'visitflorida' covers 12 characters split between five vowels and 7 consonants. It segments into two words: visit, florida. Median word length is 6 characters. 'visi' most strongly signals Lithuanian. Secondary signals appear in Latvian and Chinese (Pinyin).
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 |
|---|---|---|---|
| 153 | 198.47.127.19 | United States | AS62713AS-PUBMATIC |
| 1 | 104.18.0.22 | United States | AS13335CLOUDFLARENET |
| 1 | 216.58.206.35 | United States | AS15169GOOGLE |
| 1 | 13.32.99.51 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 142.250.185.194 | United States | AS15169GOOGLE |
| 1 | 104.75.88.209 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 34.49.109.248 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 63.33.14.238 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 1 | 3.122.28.46 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 1 | 34.254.58.123 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 443 | 291 | - | - |
Detected Technologies18
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
Unable to load historical scan data