Summary
This website contacted 3 IPs in 1 country across 3 domains to perform 56 HTTP transactions. The main domain is villageofmisenheimernc.gov and was registered NaN years ago.
Submitted URL: https://villageofmisenheimernc.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate community notice site with no security concerns.
Safety Factors
Details
Page Title
Official municipal site of the Village of Misenheimer
Scan Type
public
Language
BN
Category
cryptocurrency blockchain
(68%)Domain Information
The domain 'villageofmisenheimernc.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. Count 22 characters in 'villageofmisenheimernc' containing nine vowels alongside 13 consonants. Word splitting yields 7 words: village, of, mi, sen, he, ime, rnc. Average segment length settles at 3 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 |
|---|---|---|---|
| 20 | 142.250.185.132 | United States | AS15169GOOGLE |
| 18 | 160.153.0.81 | United States | AS209242Cloudflare London, LLC |
| 18 | 142.250.186.131 | United States | AS15169GOOGLE |
| 56 | 3 | - | - |
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