Summary
This website contacted 37 IPs in 1 country across 11 domains to perform 1121 HTTP transactions. The main domain is lakewaccamawnc.gov and was registered NaN years ago.
Submitted URL: https://www.lakewaccamawnc.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate municipal website with no security concerns.
Safety Factors
Details
Page Title
HOME | Lake Waccamaw
Scan Type
public
Language
English
Category
government
(48%)Domain Information
Domain 'www.lakewaccamawnc.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'www'. The second-level label 'lakewaccamawnc' is 14 characters long containing 5 vowels alongside nine consonants. Tokenizing the label suggests 5 words: lake, wac, cama, w, nc. The median word length lands at 3 characters. The linguistic tilt is Polish for 'lake'. Usage also turns up in Vietnamese and Indonesian contexts. Taken together, it feels Polish.
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 |
|---|---|---|---|
| 41 | 44.208.190.36 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 30 | 34.149.87.45 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 30 | 98.88.208.241 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 30 | 54.221.236.172 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 30 | 3.167.227.123 | United States | AS16509AMAZON-02 |
| 30 | 157.240.229.63 | Ashburn, Virginia, United States | AS32934FACEBOOK |
| 30 | 34.49.229.81 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 30 | 3.167.227.32 | United States | AS16509AMAZON-02 |
| 30 | 157.240.3.63 | Seattle, Washington, United States | AS32934FACEBOOK |
| 30 | 34.149.206.255 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1121 | 37 | - | - |
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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