Summary
This website contacted 29 IPs in 1 country across 7 domains to perform 143 HTTP transactions. The main domain is fishlaketownshipmn.gov and was registered NaN years ago.
Submitted URL: https://www.fishlaketownshipmn.gov/
AI Security Verdict
Safe Website
Confidence: 85%
No security concerns detected; site appears legitimate.
Safety Factors
Details
Page Title
HOME | fish-lake-township
Scan Type
public
Language
English
Category
government public service
(59%)Domain Information
The domain name 'www.fishlaketownshipmn.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'www'. Its registrable label 'fishlaketownshipmn' stretches across 18 characters containing five vowels alongside 13 consonants. Tokenizing the label suggests four words: fish, lake, township, mn. Median word length is four characters. 'fish' is most common in English usage. You may catch it in Chinese (Pinyin) and French as well. Overall, 'www.fishlaketownshipmn.gov' reads as English.
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 |
|---|---|---|---|
| 31 | 100.29.147.205 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 99.86.4.125 | United States | AS16509AMAZON-02 |
| 4 | 99.86.4.79 | United States | AS16509AMAZON-02 |
| 4 | 99.86.4.105 | United States | AS16509AMAZON-02 |
| 4 | 34.49.229.81 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 4 | 151.101.130.217 | San Francisco, California, United States | AS54113FASTLY |
| 4 | 34.203.1.235 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 52.7.44.213 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 99.86.4.90 | United States | AS16509AMAZON-02 |
| 4 | 34.149.206.255 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 143 | 29 | - | - |
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
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