Summary
This website contacted 26 IPs in 2 countries across 11 domains to perform 36 HTTP transactions. The main domain is wmillardmosquitout.gov and was registered NaN years ago.
Submitted URL: https://www.wmillardmosquitout.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government site with no security concerns.
Safety Factors
Details
Page Title
West Millard Mosquito Abatement District
Scan Type
public
Language
English
Category
government public service
(61%)Domain Information
You're looking at domain 'www.wmillardmosquitout.gov' on the United States government-restricted top-level domain (.gov) with subdomain 'www'. Count 18 characters in 'wmillardmosquitout' containing seven vowels alongside eleven consonants. Word splitting yields four words: w, millard, mosquito, ut. Expect 4.5 characters per word on average. 'w' most strongly signals Polish. You will also see it in English and Vietnamese contexts.
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 |
|---|---|---|---|
| 11 | 52.32.196.230 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 142.250.184.195 | United States | AS15169GOOGLE |
| 1 | 146.75.122.208 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 1 | 162.247.243.39 | United States | AS54113FASTLY |
| 1 | 142.250.186.106 | United States | AS15169GOOGLE |
| 1 | 34.214.250.249 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 142.250.186.100 | United States | AS15169GOOGLE |
| 1 | 104.19.230.21 | United States | AS13335CLOUDFLARENET |
| 1 | 13.33.50.127 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 34.36.213.229 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 36 | 26 | - | - |
Detected Technologies4
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
Scan History
Scan history not available
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