Summary
This website contacted 16 IPs in 1 country across 8 domains to perform 154 HTTP transactions. The main domain is villageoffredoniany.gov and was registered NaN years ago.
Submitted URL: https://www.villageoffredoniany.gov/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Home | Village Of Fredonia New York
Scan Type
public
Language
English
Category
government
(95%)Domain Information
The domain 'www.villageoffredoniany.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'www'. Count 19 characters in 'villageoffredoniany' containing eight vowels alongside eleven consonants. Breaking it apart gives four words: village, of, fredonia, ny. Average segment length settles 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 |
|---|---|---|---|
| 19 | 3.83.210.77 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 9 | 104.21.87.105 | United States | AS13335CLOUDFLARENET |
| 9 | 34.149.206.255 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 9 | 65.8.131.77 | United States | AS16509AMAZON-02 |
| 9 | 151.101.66.217 | United States | AS54113FASTLY |
| 9 | 54.85.90.58 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 9 | 34.149.87.45 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 9 | 44.207.84.49 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 9 | 34.49.229.81 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 9 | 65.8.131.125 | United States | AS16509AMAZON-02 |
| 154 | 16 | - | - |
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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