Summary
This website contacted 15 IPs in 3 countries across 6 domains to perform 20 HTTP transactions. The main domain is ripleycountymo.gov and was registered NaN years ago.
Submitted URL: https://ripleycountymo.gov/
Effective URL: https://ripleycountymo.gov/landerRedirected
AI Security Verdict
Safe Website
Confidence: 95%
No security concerns detected; site appears legitimate.
Safety Factors
Details
Page Title
ripleycountymo.gov
Scan Type
public
Language
English
Category
corporate business
(56%)Domain Information
The domain 'ripleycountymo.gov' uses the United States government-restricted top-level domain (.gov) without a subdomain. Count 14 characters in 'ripleycountymo' split between five vowels and nine consonants. Word splitting yields three words: ripley, county, mo. Expect six characters per word on average. The linguistic tilt is Tagalog for 'riple'. You will also see it in Galician and English 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 |
|---|---|---|---|
| 6 | 18.66.122.116 | United States | AS16509AMAZON-02 |
| 1 | 13.233.11.103 | Mumbai, Maharashtra, India | AS16509AMAZON-02 |
| 1 | 15.197.172.60 | United States | AS16509AMAZON-02 |
| 1 | 18.66.122.78 | United States | AS16509AMAZON-02 |
| 1 | 18.66.122.49 | United States | AS16509AMAZON-02 |
| 1 | 13.32.121.98 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 95.100.135.66 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 18.66.122.97 | United States | AS16509AMAZON-02 |
| 1 | 95.100.135.96 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 216.58.206.36 | United States | AS15169GOOGLE |
| 20 | 15 | - | - |
Detected Technologies1
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
Scan history not available
Unable to load historical scan data