Summary
This website contacted 13 IPs in 2 countries across 7 domains to perform 91 HTTP transactions. The main domain is bearcreektownshipmi.gov and was registered NaN years ago.
Submitted URL: https://bearcreektownshipmi.gov/
AI Security Verdict
Safe Website
Confidence: 96%
The site shows no security concerns and appears legitimate.
Safety Factors
Details
Page Title
Bear Creek Township - Emmet County MI | Bear Creek Township Michigan
Scan Type
public
Language
English
Category
government
(95%)Domain Information
The domain 'bearcreektownshipmi.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. The registrable portion 'bearcreektownshipmi' spans 19 characters split between seven vowels and 12 consonants. Segmentation suggests 4 words: bear, creek, township, mi. The median word length lands at 4.5 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 |
|---|---|---|---|
| 7 | 216.239.32.36 | United States | AS15169GOOGLE |
| 7 | 142.250.185.195 | United States | AS15169GOOGLE |
| 7 | 142.251.140.170 | United States | AS15169GOOGLE |
| 7 | 142.250.185.72 | United States | AS15169GOOGLE |
| 7 | 142.250.184.206 | United States | AS15169GOOGLE |
| 7 | 192.252.146.29 | Waltham, Massachusetts, United States | AS8739ICDSoft Ltd. |
| 7 | 216.239.34.36 | United States | AS15169GOOGLE |
| 7 | 2a00:1450:4001:810::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 7 | 2a00:1450:4001:830::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 7 | 2a00:1450:4001:811::200e | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 91 | 13 | - | - |
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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