Summary
This website contacted 56 IPs in 4 countries across 11 domains to perform 86 HTTP transactions. The main domain is watervlietny.gov and was registered NaN years ago.
Submitted URL: https://watervlietny.gov/
AI Security Verdict
Safe Website
Confidence: 92%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
City of Watervliet, New York | The Arsenal City | Official Website
Scan Type
public
Language
English
Category
government
(95%)Domain Information
You're looking at domain 'watervlietny.gov' on the United States government-restricted top-level domain (.gov) without a subdomain. Count 12 characters in 'watervlietny' holding four vowels versus eight consonants. Breaking it apart gives 3 words: water, vliet, ny. Average segment length settles at 5 characters. Most frequently, 'water' shows up in Dutch. Secondary signals appear in Norwegian and Danish.
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 |
|---|---|---|---|
| 42 | 141.193.213.10 | United States | AS209242Cloudflare London, LLC |
| 10 | 65.21.110.156 | Helsinki, Uusimaa, Finland | AS24940Hetzner Online GmbH |
| 9 | 37.19.194.81 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 7 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 4 | 157.240.253.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 3 | 216.239.32.36 | United States | AS15169GOOGLE |
| 2 | 54.191.74.109 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 2 | 172.217.18.8 | United States | AS15169GOOGLE |
| 2 | 157.240.253.1 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 1 | 20.250.198.32 | Zurich, Zurich, Switzerland | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 86 | 56 | - | - |
Detected Technologies12
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
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