Summary
This website contacted 72 IPs in 2 countries across 14 domains to perform 96 HTTP transactions. The main domain is glencoveny.gov and was registered NaN years ago.
Submitted URL: https://glencoveny.gov/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears to be a legitimate government website with no security concerns.
Safety Factors
Details
Page Title
Home - City of Glen Cove
Scan Type
public
Language
English
Category
government public service
(80%)Domain Information
Domain 'glencoveny.gov' uses the United States government-restricted top-level domain (.gov) without a subdomain. The core label 'glencoveny' covers 10 characters split between 3 vowels and 7 consonants. It segments into 3 words: glen, coven, y. Expect 4 characters per word on average. 'glen' is most common in Spanish usage. Secondary signals appear in French and Chinese (Zhuyin).
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 |
|---|---|---|---|
| 25 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 1 | 3.126.238.36 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 1 | 151.101.1.229 | San Francisco, California, United States | AS54113FASTLY |
| 1 | 151.101.65.229 | San Francisco, California, United States | AS54113FASTLY |
| 1 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 1 | 142.250.184.227 | United States | AS15169GOOGLE |
| 1 | 54.231.132.153 | Ashburn, Virginia, United States | AS16509AMAZON-02 |
| 1 | 192.0.77.48 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 1 | 52.10.212.216 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 172.67.207.213 | United States | AS13335CLOUDFLARENET |
| 96 | 72 | - | - |
Detected Technologies19
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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