Summary
This website contacted 10 IPs in 2 countries across 4 domains to perform 48 HTTP transactions. The main domain is randolphctywv.gov and was registered NaN years ago.
Submitted URL: https://randolphctywv.gov/
AI Security Verdict
Safe Website
Confidence: 92%
Site appears legitimate; primary concerns are its recent registration and lack of ranking.
Risk Factors
Safety Factors
Details
Page Title
Randolph County Commission | Elkins, WV | Randolph County Boards & Offices
Scan Type
public
Language
English
Category
government
(48%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'randolphctywv.gov' is registered. Its registrable label 'randolphctywv' stretches across 13 characters with two vowels and 11 consonants. Tokenizing the label suggests 4 words: randolph, c, ty, wv. Expect 2 characters per word on average. 'c' most strongly signals Breton. You may catch it in Czech and Polish as well.
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 | 142.250.186.170 | United States | AS15169GOOGLE |
| 4 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 4 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 4 | 142.250.186.142 | United States | AS15169GOOGLE |
| 4 | 142.250.185.163 | United States | AS15169GOOGLE |
| 4 | 2a00:1450:4001:810::200e | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 4 | 2a06:98c1:3121::3 | United States | AS13335CLOUDFLARENET |
| 4 | 2a00:1450:4001:811::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 4 | 2a00:1450:4001:80f::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 4 | 2a06:98c1:3120::3 | United States | AS13335CLOUDFLARENET |
| 48 | 10 | - | - |
Detected Technologies13
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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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