Summary
This website contacted 32 IPs in 1 country across 7 domains to perform 127 HTTP transactions. The main domain is braxtoncountywv.gov and was registered NaN years ago.
Submitted URL: https://www.braxtoncountywv.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government site with no security concerns.
Safety Factors
Details
Page Title
Home | Braxton County, WV
Scan Type
public
Language
English
Category
government
(95%)Domain Information
Domain 'www.braxtoncountywv.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'www'. Its registrable label 'braxtoncountywv' stretches across 15 characters with 4 vowels and eleven consonants. Breaking it apart gives three words: braxton, county, wv. Average segment length settles at six characters. 'braxton' most strongly signals English. Secondary signals appear in Chinese (Pinyin) and Danish.
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 |
|---|---|---|---|
| 34 | 3.167.227.108 | United States | AS16509AMAZON-02 |
| 3 | 34.192.137.100 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 3.167.227.129 | United States | AS16509AMAZON-02 |
| 3 | 3.167.227.123 | United States | AS16509AMAZON-02 |
| 3 | 34.149.206.255 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 3 | 151.101.2.217 | San Francisco, California, United States | AS54113FASTLY |
| 3 | 54.209.70.244 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 34.149.87.45 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 3 | 151.101.194.217 | San Francisco, California, United States | AS54113FASTLY |
| 3 | 44.193.243.223 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 127 | 32 | - | - |
Detected Technologies10
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