Summary
This website contacted 17 IPs in 2 countries across 13 domains to perform 64 HTTP transactions. The main domain is wakeforestnc.gov and was registered NaN years ago.
Submitted URL: https://www.wakeforestnc.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate municipal website with no security concerns.
Safety Factors
Details
Page Title
Town of Wake Forest, NC
Scan Type
public
Language
English
Category
social media network
(75%)Domain Information
You're looking at domain 'www.wakeforestnc.gov' on the United States government-restricted top-level domain (.gov) with subdomain 'www'. Count 12 characters in 'wakeforestnc' with four vowels and 8 consonants. Word splitting yields 3 words: wake, forest, nc. Average segment length settles at four 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 |
|---|---|---|---|
| 16 | 3.33.220.150 | Seattle, Washington, United States | AS16509AMAZON-02 |
| 3 | 135.237.219.200 | Chicago, Illinois, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 157.240.214.11 | London, England, United Kingdom | AS32934FACEBOOK |
| 3 | 13.56.202.173 | San Jose, California, United States | AS16509AMAZON-02 |
| 3 | 184.169.149.183 | San Jose, California, United States | AS16509AMAZON-02 |
| 3 | 15.197.193.217 | Seattle, Washington, United States | AS16509AMAZON-02 |
| 3 | 216.239.32.21 | United States | AS15169GOOGLE |
| 3 | 52.223.40.198 | United States | AS16509AMAZON-02 |
| 3 | 163.70.151.21 | London, England, United Kingdom | AS32934FACEBOOK |
| 3 | 3.164.68.27 | United States | AS16509AMAZON-02 |
| 64 | 17 | - | - |
Detected Technologies5
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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