Summary
API
This website contacted 47 IPs in 2 countries across 9 domains to perform 46 HTTP transactions. The main domain is nissequogueny.gov and was registered 15 years ago.
Submitted URL: https://nissequogueny.gov/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors (4)
Details
Page Title
Village of Nissequogue
Scan Type
public
Domain Name Analysis
Within the United States government-restricted top-level domain (.gov), 'nissequogueny.gov' is registered while skipping any subdomain. The registrable portion 'nissequogueny' spans 13 characters containing 6 vowels alongside seven consonants. Word splitting yields six words: n, is, se, quo, gue, ny. Expect two characters per word on average. 'n' is most common in Czech usage. You may catch it in Afrikaans and Bosnian as well. Net impression: Czech phrase.
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 |
|---|---|---|---|
| 46 | 79.127.211.89 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 0 | 35.166.110.113 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 0 | 195.181.175.41 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 0 | 142.250.185.67 | United States | AS15169GOOGLE |
| 0 | 212.102.56.178 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 0 | 104.16.175.226 | United States | AS13335CLOUDFLARENET |
| 0 | 142.250.186.106 | United States | AS15169GOOGLE |
| 0 | 44.233.228.220 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 0 | 79.127.216.203 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 0 | 37.19.194.80 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 46 | 47 | - | - |
Detected Technologies9
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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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