Summary
This website contacted 29 IPs in 1 country across 7 domains to perform 125 HTTP transactions. The main domain is taylortownnc.gov and was registered NaN years ago.
Submitted URL: https://www.taylortownnc.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Site appears to be a legitimate municipal website with no security concerns.
Safety Factors
Details
Page Title
Home | Final Copy 2
Scan Type
public
Language
English
Category
government
(48%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'www.taylortownnc.gov' is registered with subdomain 'www'. The registrable portion 'taylortownnc' spans 12 characters containing three vowels alongside nine consonants. Tokenizing the label suggests three words: taylor, town, nc. Median word length comes out to four characters. The linguistic tilt is English for 'taylor'. You may catch it in Catalan and Indonesian as well.
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 |
|---|---|---|---|
| 13 | 34.149.206.255 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 4 | 18.206.0.20 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 151.101.66.217 | San Francisco, California, United States | AS54113FASTLY |
| 4 | 99.86.4.79 | United States | AS16509AMAZON-02 |
| 4 | 99.86.4.90 | United States | AS16509AMAZON-02 |
| 4 | 54.204.203.119 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 34.149.87.45 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 4 | 34.201.196.32 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 151.101.2.217 | San Francisco, California, United States | AS54113FASTLY |
| 4 | 98.91.97.160 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 125 | 29 | - | - |
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
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