Summary
This website contacted 13 IPs in 2 countries across 3 domains to perform 47 HTTP transactions. The main domain is bridgetontownshipmi.gov and was registered NaN years ago.
Submitted URL: https://bridgetontownshipmi.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate township website with no security concerns.
Safety Factors
Details
Page Title
Bridgeton Township -
Scan Type
public
Language
English
Category
government
(48%)Domain Information
The domain 'bridgetontownshipmi.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. Its registrable label 'bridgetontownshipmi' stretches across 19 characters holding 6 vowels versus 13 consonants. Word splitting yields 4 words: bridget, on, township, mi. Median word length comes out to 4.5 characters. 'bridget' most strongly signals Estonian. Usage also turns up in Finnish and Esperanto 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 | 151.101.193.229 | San Francisco, California, United States | AS54113FASTLY |
| 3 | 23.36.162.203 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 23.101.118.145 | Des Moines, Iowa, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 151.101.129.229 | San Francisco, California, United States | AS54113FASTLY |
| 3 | 23.36.162.197 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 2a04:4e42:400::485 | United States | Unknown |
| 3 | 151.101.65.229 | United States | Unknown |
| 3 | 2a04:4e42::485 | United States | Unknown |
| 3 | 151.101.1.229 | United States | Unknown |
| 3 | 2a02:26f0:3500:18::1724:a28a | United States | Unknown |
| 47 | 13 | - | - |
Detected Technologies5
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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