Summary
This website contacted 54 IPs in 2 countries across 12 domains to perform 93 HTTP transactions. The main domain is voteokaloosa.gov and was registered NaN years ago.
Submitted URL: https://www.voteokaloosa.gov/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Okaloosa County Supervisor of Elections | Paul Lux
Scan Type
public
Language
English
Category
government public service
(76%)Domain Information
You're looking at domain 'www.voteokaloosa.gov' on the United States government-restricted top-level domain (.gov) with subdomain 'www'. The registrable portion 'voteokaloosa' spans 12 characters with seven vowels and five consonants. Word splitting yields two words: vote, okaloosa. Expect six characters per word on average. 'vote' is most common in English usage. You will also see it in Chinese (Pinyin) and French 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 |
|---|---|---|---|
| 40 | 104.21.69.197 | United States | AS13335CLOUDFLARENET |
| 1 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 216.239.34.36 | United States | AS15169GOOGLE |
| 1 | 184.24.77.169 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 172.67.212.203 | United States | AS13335CLOUDFLARENET |
| 1 | 172.66.144.196 | United States | AS13335CLOUDFLARENET |
| 1 | 142.250.186.67 | United States | AS15169GOOGLE |
| 1 | 104.20.46.41 | United States | AS13335CLOUDFLARENET |
| 1 | 3.5.31.127 | United States | AS14618AMAZON-AES |
| 93 | 54 | - | - |
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
Other Hashes
Scan History
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