Security Scan Report: glencoveny.gov

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Submitted: Dec 8, 2025, 2:22:45 PMCompleted: Dec 8, 2025, 2:24:35 PMpubliccompleted
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Summary

This website contacted 70 IPs in 3 countries across 13 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

AI analysis unavailable for this scan

Details

Page Title

Home - City of Glen Cove

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(73%)

Domain Information

The domain name 'glencoveny.gov' uses the United States government-restricted top-level domain (.gov). Its registrable label 'glencoveny' stretches across 10 characters split between three vowels and seven consonants. Splitting it apart reveals three words: glen, coven, y. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://glencoveny.gov/

Page Load Overview

64.53s
Total Load Time
96
HTTP Requests
13
Domains
3.8 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:4,719 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service73% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
73%
government
48%
corporate
35%
news/blog
20%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
27104.18.94.41United States
AS13335CLOUDFLARENET
1172.67.207.213United States
AS13335CLOUDFLARENET
1188.114.96.3United States
AS13335CLOUDFLARENET
152.216.211.65Ashburn, Virginia, United States
AS16509AMAZON-02
1192.178.170.95United States
AS15169GOOGLE
1104.21.37.116United States
AS13335CLOUDFLARENET
13.126.238.36Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
1216.239.32.36United States
AS15169GOOGLE
179.127.211.89Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
1195.181.170.19Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
9670--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E764A3D204CA5190924B8CC5E3CEBE0D6BE92359D781E9567BFD48898FCAC5082F771E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:TFgQ6iMygHIxxRUuCA9R8aGvs9wlliFDLB/8tg3Bp1tB3ckU:UuCsOs9cgP2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:336655:JCJjwEoLKIRCCKpRJDBAA28HS2YAAQCM3C+gGhAVggCQpfQOReAnQRQGoAoQSSIE4J4KUBI7IUEAVsAVJtAJiRA0I0hgyQQ+

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

Average Hash:3810100010f8ffff
Perceptual Hash:cb49b75d26b24299
Difference Hash:6173f3f171710c8c
Wavelet Hash:fc10180018f8ffff
Color Hash:#40bf80

Scan History

Scan history not available

Unable to load historical scan data