Summary
This website contacted 8 IPs in 2 countries across 3 domains to perform 52 HTTP transactions. The main domain is townofwinfieldny.gov and was registered NaN years ago.
Submitted URL: https://townofwinfieldny.gov/
AI Security Verdict
Low Risk
Confidence: 85%
Site appears legitimate with no active threats, though it is a newly registered .gov domain.
Safety Factors
Details
Page Title
Home - townofwinfieldny.gov
Scan Type
public
Language
English
Category
government public service
(51%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'townofwinfieldny.gov' is registered while skipping any subdomain. Count 16 characters in 'townofwinfieldny' split between five vowels and 11 consonants. Breaking it apart gives 4 words: town, of, winfield, ny. Median word length comes out to three 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 |
|---|---|---|---|
| 44 | 92.113.23.131 | Frankfurt am Main, Hesse, Germany | AS47583Hostinger International Limited |
| 6 | 92.113.16.33 | Frankfurt am Main, Hesse, Germany | AS47583Hostinger International Limited |
| 6 | 2a00:1450:4001:82f::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 6 | 2a02:4780:43:fcd:e65:c18:1d08:5763 | Frankfurt am Main, Hesse, Germany | AS47583Hostinger International Limited |
| 6 | 2a00:1450:4001:831::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 6 | 2a02:4780:42:7638:9f23:9f2e:f0bb:c13 | Frankfurt am Main, Hesse, Germany | AS47583Hostinger International Limited |
| 2 | 142.250.184.195 | United States | AS15169GOOGLE |
| 1 | 142.250.185.202 | United States | AS15169GOOGLE |
| 52 | 8 | - | - |
Detected Technologies4
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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