Summary
This website contacted 42 IPs in 3 countries across 13 domains to perform 71 HTTP transactions. The main domain is voteosceola.gov and was registered NaN years ago.
Submitted URL: https://www.voteosceola.gov/en-us/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government site with no security concerns.
Safety Factors
Details
Page Title
Home
Scan Type
public
Language
English
Category
government
(95%)Domain Information
The domain name 'www.voteosceola.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'www'. The registrable portion 'voteosceola' spans 11 characters split between six vowels and 5 consonants. Splitting it apart reveals two words: vote, osceola. Median word length is 5.5 characters. Most frequently, 'vote' shows up in Vietnamese. Usage also turns up in Chinese (Pinyin) and Chinese (Zhuyin) 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 |
|---|---|---|---|
| 30 | 52.239.221.65 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 1 | 44.253.59.79 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 50.112.143.248 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 104.18.10.207 | United States | AS13335CLOUDFLARENET |
| 1 | 142.250.184.234 | United States | AS15169GOOGLE |
| 1 | 13.32.121.50 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 20.105.224.20 | Amsterdam, North Holland, Netherlands | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 100.21.212.132 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 104.18.17.101 | United States | AS13335CLOUDFLARENET |
| 71 | 42 | - | - |
Detected Technologies11
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
Scan History
Scan history not available
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