Summary
This website contacted 12 IPs in 2 countries across 7 domains to perform 53 HTTP transactions. The main domain is greenfieldlaxwi.gov and was registered NaN years ago.
Submitted URL: https://www.greenfieldlaxwi.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government site with no security concerns.
Safety Factors
Details
Page Title
Town of Greenfield | La Crosse County, Wisconsin
Scan Type
public
Language
English
Category
government
(48%)Domain Information
Domain 'www.greenfieldlaxwi.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'www'. The core label 'greenfieldlaxwi' covers 15 characters with six vowels and nine consonants. Tokenizing the label suggests 3 words: greenfield, lax, wi. The median word length lands at three 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 |
|---|---|---|---|
| 9 | 79.127.216.203 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 4 | 212.102.56.179 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 4 | 44.254.146.143 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 4 | 195.181.170.18 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 4 | 142.250.185.238 | United States | AS15169GOOGLE |
| 4 | 37.19.194.80 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 4 | 72.52.197.108 | United States | AS32244LIQUIDWEB |
| 4 | 142.250.185.232 | United States | AS15169GOOGLE |
| 4 | 52.11.192.57 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 4 | 79.127.211.90 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 53 | 12 | - | - |
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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