Summary
This website contacted 32 IPs in 1 country across 7 domains to perform 140 HTTP transactions. The main domain is townofmazomaniewi.gov and was registered NaN years ago.
Submitted URL: https://www.townofmazomaniewi.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate municipal website with no security concerns.
Safety Factors
Details
Page Title
Home | Town of Mazomanie
Scan Type
public
Language
English
Category
government public service
(56%)Domain Information
Domain 'www.townofmazomaniewi.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'www'. The core label 'townofmazomaniewi' covers 17 characters containing 8 vowels alongside nine consonants. Segmentation suggests 6 words: town, of, maz, omani, ew, i. The median word length lands at 2.5 characters. The linguistic tilt is Chinese (Pinyin) for 'town'. You may catch it in English and Bosnian as well. Net impression: Chinese (Pinyin) phrase.
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 | 151.101.130.217 | San Francisco, California, United States | AS54113FASTLY |
| 4 | 34.49.229.81 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 4 | 34.149.87.45 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 4 | 3.167.227.108 | United States | AS16509AMAZON-02 |
| 4 | 34.200.159.36 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 44.207.225.204 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 34.149.206.255 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 4 | 151.101.194.217 | San Francisco, California, United States | AS54113FASTLY |
| 4 | 44.193.243.223 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 50.19.232.52 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 140 | 32 | - | - |
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
Scan history not available
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