Summary
This website contacted 41 IPs in 2 countries across 10 domains to perform 200 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: 85%
Site appears legitimate but shows minor red flags such as a circular redirect and recent domain registration.
Risk Factors
Safety Factors
Details
Page Title
HOME | Nimishillentownship
Scan Type
public
Language
English
Category
entertainment media
(56%)Domain Information
Domain 'www.nimishillentownship.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'www'. The core label 'nimishillentownship' covers 19 characters holding six vowels versus 13 consonants. Segmentation suggests five words: nim, is, hill, en, township. The median word length lands at three characters. Most frequently, 'nim' shows up in Dutch. Usage also turns up in Afrikaans and Finnish contexts. Taken together, it feels Dutch.
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 |
|---|---|---|---|
| 138 | 34.49.229.81 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 40 | 142.250.184.234 | United States | AS15169GOOGLE |
| 16 | 3.167.227.129 | United States | AS16509AMAZON-02 |
| 12 | 52.73.106.88 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 12 | 98.90.150.80 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 8 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 6 | 34.149.206.255 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 4 | 44.219.128.163 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 52.1.167.16 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 3.167.227.32 | United States | AS16509AMAZON-02 |
| 200 | 41 | - | - |
Detected Technologies7
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
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