Summary
This website contacted 16 IPs in 2 countries across 6 domains to perform 80 HTTP transactions. The main domain is randolphcountync.gov and was registered NaN years ago.
Submitted URL: https://randolphcountync.gov/
The Cisco Umbrella rank of the primary domain is #512,724 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate county government website with no security concerns.
Safety Factors
Details
Page Title
Randolph County, NC | Official Website
Scan Type
public
Language
English
Category
government public service
(50%)Domain Information
Domain 'randolphcountync.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. Count 16 characters in 'randolphcountync' split between 4 vowels and 12 consonants. Segmentation suggests three words: randolph, county, nc. Median word length comes out to six 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 |
|---|---|---|---|
| 62 | 207.38.77.29 | United States | AS36489NETSOLUS-NETWORKS |
| 7 | 142.250.184.195 | United States | AS15169GOOGLE |
| 5 | 13.107.246.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 5 | 142.250.184.232 | United States | AS15169GOOGLE |
| 5 | 2a00:1450:4001:828::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 5 | 2620:1ec:46::44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 5 | 2001:4860:4802:32::36 | United States | AS15169GOOGLE |
| 5 | 2a00:1450:4001:811::2008 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 5 | 2001:4860:4802:34::36 | United States | AS15169GOOGLE |
| 5 | 216.239.34.36 | United States | AS15169GOOGLE |
| 80 | 16 | - | - |
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
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