Summary
This website contacted 46 IPs in 1 country across 11 domains to perform 296 HTTP transactions. The main domain is sandspoint.gov and was registered NaN years ago.
Submitted URL: https://www.sandspoint.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government website with no security concerns.
Safety Factors
Details
Page Title
Village of Sands Point in Nassau County, New York
Scan Type
public
Language
English
Category
government
(48%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'www.sandspoint.gov' is registered, featuring subdomain 'www'. Count 10 characters in 'sandspoint' with 3 vowels and seven consonants. Breaking it apart gives two words: sands, point. Expect 5 characters per word on average. 'sands' most strongly signals English. It also appears in French and Chinese (Pinyin) contexts.
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 |
|---|---|---|---|
| 26 | 99.86.4.105 | United States | AS16509AMAZON-02 |
| 6 | 99.86.4.83 | United States | AS16509AMAZON-02 |
| 6 | 34.49.229.81 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 6 | 34.149.206.255 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 6 | 99.86.4.90 | United States | AS16509AMAZON-02 |
| 6 | 104.20.46.41 | United States | AS13335CLOUDFLARENET |
| 6 | 99.86.4.79 | United States | AS16509AMAZON-02 |
| 6 | 34.54.217.226 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 6 | 34.203.1.235 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 6 | 99.86.4.125 | United States | AS16509AMAZON-02 |
| 296 | 46 | - | - |
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
Scan History
Scan history not available
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