Summary
This website contacted 25 IPs in 3 countries across 9 domains to perform 30 HTTP transactions. The main domain is howardchippewawi.gov and was registered NaN years ago.
Submitted URL: https://howardchippewawi.gov/
AI Security Verdict
Safe Website
Confidence: 95%
The site shows no security concerns and appears to be a legitimate municipal website.
Safety Factors
Details
Page Title
Town of Howard
Scan Type
public
Language
English
Category
government
(48%)Domain Information
Domain 'howardchippewawi.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. Its registrable label 'howardchippewawi' stretches across 16 characters holding six vowels versus 10 consonants. It segments into three words: howard, chippewa, wi. Average segment length settles at six 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 |
|---|---|---|---|
| 6 | 146.75.120.237 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 1 | 142.250.185.227 | United States | AS15169GOOGLE |
| 1 | 198.185.159.145 | United States | AS53831SQUARESPACE |
| 1 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 184.24.77.145 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 198.49.23.145 | United States | AS53831SQUARESPACE |
| 1 | 142.250.186.131 | United States | AS15169GOOGLE |
| 1 | 184.24.77.152 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 34.160.236.44 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 216.58.206.74 | United States | AS15169GOOGLE |
| 30 | 25 | - | - |
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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