Summary
This website contacted 55 IPs in 2 countries across 9 domains to perform 82 HTTP transactions. The main domain is townofkewaskumwi.gov and was registered NaN years ago.
Submitted URL: https://townofkewaskumwi.gov/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears to be a legitimate municipal website with no security concerns.
Safety Factors
Details
Page Title
Town of Kewaskum – Wisconsin
Scan Type
public
Language
English
Category
government public service
(52%)Domain Information
The domain 'townofkewaskumwi.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. Its registrable label 'townofkewaskumwi' stretches across 16 characters holding six vowels versus ten consonants. Tokenizing the label suggests 6 words: town, of, ke, was, kum, wi. The median word length lands at 2.5 characters. 'town' most often appears in Chinese (Pinyin). Secondary signals appear in English 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 |
|---|---|---|---|
| 51 | 172.67.204.10 | United States | AS13335CLOUDFLARENET |
| 28 | 172.67.207.213 | United States | AS13335CLOUDFLARENET |
| 9 | 212.102.56.178 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 8 | 104.21.37.116 | United States | AS13335CLOUDFLARENET |
| 3 | 52.10.238.64 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 2 | 104.16.174.226 | United States | AS13335CLOUDFLARENET |
| 2 | 142.250.185.195 | United States | AS15169GOOGLE |
| 2 | 142.250.186.138 | United States | AS15169GOOGLE |
| 1 | 37.19.194.81 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 44.241.101.153 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 82 | 55 | - | - |
Detected Technologies8
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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