Summary
This website contacted 1 IP in 0 countries across 1 domain to perform 4 HTTP transactions. The main domain is rioag.gov and was registered NaN years ago.
Submitted URL: http://rioag.gov/
AI Security Verdict
Low Risk
Confidence: 82%
2
Risk Score
Circular redirect detected but no other threats; overall low risk
Risk Factors
Circular redirect (potential URL manipulation or redirect loop)
Safety Factors
Domain age > 9 years (well established)
No malicious Indicators of Compromise matches found
No credential or payment forms present
Page title indicates site is blocked, but no malicious content fetched
Domain age information unavailable
Details
Page Title
Web Site Blocked
Scan Type
public
Language
🇺🇸
(54% confidence)English
Category
government
(48%)Domain Information
The domain name 'rioag.gov' uses the United States government-restricted top-level domain (.gov). Count 5 characters in 'rioag' holding three vowels versus 2 consonants. Segmentation suggests two words: rio, ag. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
34.57s
Total Load Time
4
HTTP Requests
1
Domains
N/A
Total Size
Language Analysis
Primary Language
🇺🇸English
Code: enConfidence:54%
Script:Latin
Direction:ltr
Detection Details
Language Code:en
Detection Confidence:54%
Script Type:Latin
Text Length:211 chars
Detector Agreement:100%
Website Classification
Primary Category
government48% confidence
Type: static
Method: ml+structural
All Detected Categories
government
48%
documentation technical
33%
Detected Features
No structural features detected
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 4 | 174.68.205.141 | Unknown | Unknown |
| 4 | 1 | - | - |
Content Similarity HashesFor malware variant detection
Image Hashes
Perceptual Hashes
Average Hash:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A
Other Hashes
Crop Resistant:N/A
Scan History
Scan history not available
Unable to load historical scan data