Security Scan Report: www.townofboonvilleny.gov

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Submitted: Oct 3, 2025, 3:50:49 AMCompleted: Oct 3, 2025, 3:52:28 AMpubliccompleted
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Summary

This website contacted 29 IPs in 1 country across 7 domains to perform 119 HTTP transactions. The main domain is townofboonvilleny.gov.

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site appears to be a legitimate municipal website with no detected malicious activity.

Safety Factors
Official .gov domain
No forms collecting sensitive data
No malicious Indicators of Compromise
Consistent municipal branding and contact information
Domain age information unavailable

Details

Page Title

Town of Boonville, NY | town hall | 13149 State Route 12, Boonville, NY, United States

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Screenshot

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

Page Load Overview

69.24s
Total Load Time
119
HTTP Requests
7
Domains
1.3 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:3,709 chars
Detector Agreement:100%

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
754.204.203.119Ashburn, Virginia, United States
AS14618AMAZON-AES
434.49.229.81Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
4100.29.147.205Ashburn, Virginia, United States
AS14618AMAZON-AES
4151.101.2.217San Francisco, California, United States
AS54113FASTLY
499.86.4.90United States
AS16509AMAZON-02
499.86.4.79United States
AS16509AMAZON-02
454.166.192.105Ashburn, Virginia, United States
AS14618AMAZON-AES
434.149.87.45Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
434.192.203.197Ashburn, Virginia, United States
AS14618AMAZON-AES
499.86.4.105United States
AS16509AMAZON-02
11929--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10053D876F50D1C3F21238AD9F075A3267092D919DB5548349AAC637A2BC6CF2B14FB0E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:+j41YVNT4dES1hQKMetwOeteeeezAeeede8n7eeyjereegjeCee7eoeeePee8VEF:GuR/l/8R8Rg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:63396:hEdJDAJiGwIIWYCQHcsHCIihUXCISHwXAAwooU0hKaNwSFggIokGkSiEQF0iAKKmdQhKI+UkFWoHElwChDoEArgAITgUC4BQ

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:101c0000e7e5ffff
Perceptual Hash:960784c7e77362a3
Difference Hash:e870d524cd49bda7
Wavelet Hash:10120400e7e7ffff
Color Hash:#c287c5

Scan History

Scan history not available

Unable to load historical scan data