Summary
This website contacted 10 IPs in 2 countries across 11 domains to perform 48 HTTP transactions. The main domain is mcdowellcountyncboe.gov and was registered NaN years ago.
Submitted URL: https://mcdowellcountyncboe.gov/
AI Security Verdict
Safe Website
Confidence: 96%
Legitimate government site with no detected threats.
Safety Factors
Details
Page Title
McDowell County Board of Elections – McDowell County, North Carolina
Scan Type
public
Language
BN
Category
cryptocurrency blockchain
(70%)Domain Information
The domain name 'mcdowellcountyncboe.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. The core label 'mcdowellcountyncboe' covers 19 characters split between six vowels and 13 consonants. Tokenizing the label suggests four words: mcdowell, county, nc, boe. Median word length is 4.5 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 |
|---|---|---|---|
| 12 | 192.0.73.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 4 | 192.0.78.13 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 4 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 4 | 192.0.78.25 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 4 | 192.0.77.32 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 4 | 162.159.138.60 | United States | AS13335CLOUDFLARENET |
| 4 | 192.0.72.26 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 4 | 192.0.78.12 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 4 | 192.0.78.24 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 4 | 192.0.76.3 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 48 | 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
Scan History
Scan history not available
Unable to load historical scan data