Security Scan Report: nissequogueny.gov

Submitted: Oct 21, 2025, 6:38:23 AMCompleted: Oct 21, 2025, 6:40:31 AMpubliccompleted
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Summary

This website contacted 55 IPs in 2 countries across 9 domains to perform 44 HTTP transactions. The main domain is nissequogueny.gov and was registered NaN years ago.

Submitted URL: https://nissequogueny.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain with long registration history
No suspicious external links or redirects
No collection of sensitive data
Domain age information unavailable

Details

Page Title

Village of Nissequogue

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(90%)

Domain Information

The domain name 'nissequogueny.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. The core label 'nissequogueny' covers 13 characters with 6 vowels and seven consonants. Splitting it apart reveals six words: n, is, se, quo, gue, ny. Median word length comes out to two characters. Most frequently, 'n' shows up in Czech. You may catch it in Afrikaans and Bosnian as well. Net impression: Czech phrase.

Screenshot

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

Page Load Overview

3.26s
Total Load Time
44
HTTP Requests
9
Domains
3.0 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
Text Length:6,590 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service90% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
90%
forum community discussion
83%
documentation technical
78%
real estate property
78%
healthcare medical
70%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
44142.250.185.195United States
AS15169GOOGLE
2665.254.238.128United States
AS29873BIZLAND-SD
779.127.216.203Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
3142.250.185.131United States
AS15169GOOGLE
2142.250.186.170United States
AS15169GOOGLE
234.214.23.52Boardman, Oregon, United States
AS16509AMAZON-02
2151.101.65.229San Francisco, California, United States
AS54113FASTLY
113.33.187.81New York, New York, United States
AS16509AMAZON-02
1104.18.10.207United States
AS13335CLOUDFLARENET
0142.250.185.170United States
AS15169GOOGLE
4455--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15433D9E75A4E303E115670857428F75DABAB4386EB292C90B3FD729CDB85F8808B534D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:V9otLekFPNOollli3a83a3XaLkzQ2yLfZH5eAC:/b3a83a3qLkU2ytH5et

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:50773:BQofAQqKAcZIJnkAMAWA5oBBIWk3SwkTwhHhBRARIEQZmBJAJExAKpQWCRDBscKMAiQKAJaeBgo1PgYUPgfkkUzwiGJKAI2l

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:ffff000000ffffff
Perceptual Hash:9a0ff0f51e0f8760
Difference Hash:3897e77959c09dbd
Wavelet Hash:dfcb000000ffc7df
Color Hash:#87abc5

Scan History

Scan history not available

Unable to load historical scan data