Summary
This website contacted 29 IPs in 1 country across 7 domains to perform 153 HTTP transactions. The main domain is fowlerny.gov and was registered NaN years ago.
Submitted URL: https://www.fowlerny.gov/
AI Security Verdict
Low Risk
Confidence: 78%
Site appears legitimate but recent domain registration warrants caution.
Risk Factors
Safety Factors
Details
Page Title
On the Oswegatchie River | Town of Fowler, NY | United States
Scan Type
public
Language
English
Category
government
(48%)Domain Information
The domain name 'www.fowlerny.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'www'. The registrable portion 'fowlerny' spans 8 characters containing 2 vowels alongside 6 consonants. Tokenizing the label suggests two words: fowler, ny. The median word length lands at 4 characters. 'fowler' is most common in Norwegian usage. Usage also turns up in Danish and Swedish contexts. Taken together, it feels Norwegian.
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 |
|---|---|---|---|
| 13 | 151.101.130.217 | San Francisco, California, United States | AS54113FASTLY |
| 5 | 54.158.168.122 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 5 | 34.49.229.81 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 5 | 151.101.194.217 | San Francisco, California, United States | AS54113FASTLY |
| 5 | 3.167.227.123 | United States | AS16509AMAZON-02 |
| 5 | 18.206.0.20 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 5 | 54.221.236.172 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 5 | 34.149.87.45 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 5 | 3.167.227.32 | United States | AS16509AMAZON-02 |
| 5 | 44.208.190.36 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 153 | 29 | - | - |
Detected Technologies8
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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