Summary
This website contacted 16 IPs in 2 countries across 3 domains to perform 43 HTTP transactions. The main domain is newarkwi.gov and was registered NaN years ago.
Submitted URL: https://newarkwi.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government site with no security concerns.
Safety Factors
Details
Page Title
Town of Newark - Home
Scan Type
public
Language
English
Category
government public service
(49%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'newarkwi.gov' is registered without a subdomain. Its registrable label 'newarkwi' stretches across 8 characters with three vowels and 5 consonants. Breaking it apart gives two words: newark, wi. Median word length comes out to 4 characters. 'newark' most strongly signals Vietnamese. Secondary signals appear in Danish and German.
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 | 13.107.246.45 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 23.50.131.148 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 13.107.213.45 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 104.16.175.226 | United States | AS13335CLOUDFLARENET |
| 2 | 23.213.161.203 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 151.101.1.229 | San Francisco, California, United States | AS54113FASTLY |
| 2 | 2a04:4e42:600::485 | United States | AS54113FASTLY |
| 2 | 151.101.65.229 | San Francisco, California, United States | AS54113FASTLY |
| 2 | 2a04:4e42:200::485 | United States | AS54113FASTLY |
| 2 | 151.101.193.229 | San Francisco, California, United States | AS54113FASTLY |
| 43 | 16 | - | - |
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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