Summary
This website contacted 16 IPs in 2 countries across 8 domains to perform 75 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 appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Home - Rolling Plains Conservation District
Scan Type
public
Language
English
Category
government public service
(79%)Domain Information
The domain 'rollingplainsgcd.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. The registrable portion 'rollingplainsgcd' spans 16 characters containing four vowels alongside twelve consonants. Segmentation suggests three words: rolling, plains, gcd. Average segment length settles at 6 characters. 'rolling' most strongly signals English. It also appears in Chinese (Pinyin) and French contexts.
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 |
|---|---|---|---|
| 15 | 216.239.32.36 | United States | AS15169GOOGLE |
| 4 | 172.217.18.4 | United States | AS15169GOOGLE |
| 4 | 216.58.206.40 | United States | AS15169GOOGLE |
| 4 | 104.20.46.41 | United States | AS13335CLOUDFLARENET |
| 4 | 142.250.185.163 | United States | AS15169GOOGLE |
| 4 | 162.241.218.238 | Phoenix, Arizona, United States | AS46606UNIFIEDLAYER-AS-1 |
| 4 | 142.250.185.67 | United States | AS15169GOOGLE |
| 4 | 2a00:1450:4001:831::2008 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 4 | 2606:4700:10::ac42:90c4 | United States | AS13335CLOUDFLARENET |
| 4 | 2a00:1450:4001:812::2004 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 75 | 16 | - | - |
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
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