Summary
This website contacted 10 IPs in 2 countries across 9 domains to perform 61 HTTP transactions. The main domain is votedavidsoncountync.gov and was registered NaN years ago.
Submitted URL: https://votedavidsoncountync.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Home Page
Scan Type
public
Language
English
Category
social media network
(57%)Domain Information
The domain name 'votedavidsoncountync.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. The core label 'votedavidsoncountync' covers 20 characters with seven vowels and 13 consonants. Word splitting yields four words: vote, davidson, county, nc. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 7 | 23.207.210.143 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 6 | 13.248.243.5 | United States | AS16509AMAZON-02 |
| 6 | 162.159.138.60 | United States | AS13335CLOUDFLARENET |
| 6 | 76.223.105.230 | United States | AS16509AMAZON-02 |
| 6 | 142.250.185.131 | United States | AS15169GOOGLE |
| 6 | 23.37.63.62 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 6 | 23.207.210.148 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 6 | 146.75.120.217 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 6 | 34.120.202.204 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 6 | 162.159.128.61 | United States | AS13335CLOUDFLARENET |
| 61 | 10 | - | - |
Detected Technologies4
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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