Summary
This website contacted 17 IPs in 2 countries across 8 domains to perform 81 HTTP transactions. The main domain is rollingplainsgcd.gov and was registered NaN years ago.
Submitted URL: https://rollingplainsgcd.gov/
AI Security Verdict
Safe Website
Confidence: 95%
The site shows no suspicious activity and appears legitimate.
Safety Factors
Details
Page Title
Home - Rolling Plains Conservation District
Scan Type
public
Language
English
Category
government public service
(64%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'rollingplainsgcd.gov' is registered while skipping any subdomain. The second-level label 'rollingplainsgcd' is 16 characters long containing four vowels alongside 12 consonants. It segments into three words: rolling, plains, gcd. Median word length is 6 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 |
|---|---|---|---|
| 59 | 162.241.218.238 | Phoenix, Arizona, United States | AS46606UNIFIEDLAYER-AS-1 |
| 9 | 142.250.185.99 | United States | AS15169GOOGLE |
| 4 | 142.250.186.163 | United States | AS15169GOOGLE |
| 4 | 142.250.184.228 | United States | AS15169GOOGLE |
| 4 | 216.239.32.36 | United States | AS15169GOOGLE |
| 4 | 2001:4860:4802:32::36 | United States | AS15169GOOGLE |
| 4 | 2a00:1450:4001:831::2004 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 4 | 2a00:1450:4001:80b::2008 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 4 | 2a00:1450:4001:828::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 4 | 2a00:1450:4001:810::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 81 | 17 | - | - |
Detected Technologies5
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
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