Security Scan Report: www.sbgny.gov

Submitted: Oct 14, 2025, 11:46:39 PMCompleted: Oct 14, 2025, 11:47:37 PMpubliccompleted
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Summary

This website contacted 22 IPs in 2 countries across 8 domains to perform 81 HTTP transactions. The main domain is sbgny.gov and was registered NaN years ago.

Submitted URL: https://www.sbgny.gov/

AI Security Verdict

Safe Website

Confidence: 93%

1
Risk Score

Legitimate municipal website with no evident security threats.

Safety Factors
Official .gov top‑level domain
Clear municipal branding and contact information
No sensitive data collection on the site
No external links to suspicious domains
Domain age information unavailable

Details

Page Title

Village of South Blooming Grove - Village of South Blooming Grove

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(68%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'www.sbgny.gov' is registered with subdomain 'www'. The core label 'sbgny' covers 5 characters with 0 vowels and five consonants. Word splitting yields 2 words: sb, gny. Expect 2.5 characters per word on average. 'sb' is most common in Chinese (Traditional) usage. Usage also turns up in Bosnian and Catalan contexts. Taken together, it feels Chinese (Traditional).

Screenshot

Security scan screenshot of https://www.sbgny.gov/

Page Load Overview

24.11s
Total Load Time
81
HTTP Requests
8
Domains
2.2 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:5,725 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service68% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
68%
government
48%
corporate
35%
news media journalism
32%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18142.250.181.232United States
AS15169GOOGLE
367.227.237.65United States
AS32244LIQUIDWEB
3172.67.129.47United States
AS13335CLOUDFLARENET
3216.239.34.36United States
AS15169GOOGLE
3142.250.185.131United States
AS15169GOOGLE
3216.58.206.42United States
AS15169GOOGLE
3142.250.186.67United States
AS15169GOOGLE
3104.21.1.112United States
AS13335CLOUDFLARENET
3142.250.185.164United States
AS15169GOOGLE
3142.250.184.228United States
AS15169GOOGLE
8122--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E1F386A1C0CC3527C20695A1F2917BBCAAB68253C704E443F6ED8B0D5FE2E559AB753C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:FD8l9njO4ePH8vBnT61B3DLXY7vWu7Dt5pfBoMFTU77wUjswZUcvnU6PAz/d5zCy:B8PnjOthXr0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:157639:SkA4SBJZIQANFSBIQInOScYAUoJCOQARsJiZI0QAK3VVIeJmQCEJkhbTNGIFgNJUmUUgAYkFAIWA8AAEsgMABiJAEoAC3JeM

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:00000046ffffffef
Perceptual Hash:b54e4f9b3160644f
Difference Hash:d1614694dc0f5e96
Wavelet Hash:00000042ffffffe7
Color Hash:#53ac8d

Scan History

Scan history not available

Unable to load historical scan data