Summary
This website contacted 37 IPs in 2 countries across 10 domains to perform 195 HTTP transactions. The main domain is nimishillentownship.gov and was registered NaN years ago.
Submitted URL: https://www.nimishillentownship.gov/
AI Security Verdict
Low Risk
Confidence: 72%
Site appears to be a legitimate township page, but recent registration and a circular redirect raise minor concerns.
Risk Factors
Safety Factors
Details
Page Title
HOME | Nimishillentownship
Scan Type
public
Language
English
Category
government public service
(52%)Domain Information
The domain 'www.nimishillentownship.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'www'. The second-level label 'nimishillentownship' is 19 characters long with 6 vowels and 13 consonants. It segments into five words: nim, is, hill, en, township. Median word length comes out to three 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 |
|---|---|---|---|
| 137 | 34.49.229.81 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 12 | 3.91.142.98 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 12 | 54.147.56.12 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 12 | 65.8.131.77 | United States | AS16509AMAZON-02 |
| 8 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 5 | 65.8.131.76 | United States | AS16509AMAZON-02 |
| 5 | 3.83.59.86 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 5 | 52.86.41.132 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 5 | 151.101.66.217 | San Francisco, California, United States | AS54113FASTLY |
| 5 | 65.8.131.125 | United States | AS16509AMAZON-02 |
| 195 | 37 | - | - |
Detected Technologies6
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