Security Scan Report: townofbyronny.gov

Submitted: Nov 28, 2025, 4:53:57 AMCompleted: Nov 28, 2025, 4:56:28 AMpubliccompleted
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Summary

This website contacted 30 IPs in 2 countries across 5 domains to perform 132 HTTP transactions. The main domain is townofbyronny.gov and was registered NaN years ago.

Submitted URL: https://townofbyronny.gov/

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Official municipal domain (townofbyronny.gov)
Domain age moderate but no suspicious activity
No redirection or URL manipulation detected
Domain age information unavailable

Details

Page Title

Town of Byron, NY | (585) 548-7123 – Welcome to the Town of Byron, New York — a community with deep roots, rich history, and small-town charm. Established in 1820 and named in honor of poet Lord Byron, our town has a colorful past shaped by its unique hamlets, historic landmarks, and nationally recognized Hiscock Archaeological Site, where mastodon remains and ancient artifacts are still being discovered. From the Bennet Mill to the Byron Museum, history comes alive here. Whether you’re a resident or a visitor, we invite you to explore, connect, and experience the warmth of our community.

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(71%)

Domain Information

Domain 'townofbyronny.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. The second-level label 'townofbyronny' is 13 characters long with three vowels and ten consonants. Splitting it apart reveals 4 words: town, of, by, ronny. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

4.56s
Total Load Time
132
HTTP Requests
5
Domains
3.1 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:3,818 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service71% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
71%
government
48%
adult content
28%
documentation technical
25%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
111192.124.249.135Menifee, California, United States
AS30148SUCURI-SEC
1679.127.211.90Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
9195.181.170.18Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
6142.250.185.131United States
AS15169GOOGLE
444.247.138.92Boardman, Oregon, United States
AS16509AMAZON-02
4212.102.56.178Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
479.127.216.204Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
4195.181.175.40Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
4142.250.186.106United States
AS15169GOOGLE
42600:1f14:5db:eb00:37bb:91d3:521:d25fBoardman, Oregon, United States
AS16509AMAZON-02
13230--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D5D31A3179079935214F1287E543B20D62A89185DF6029F5F3F9192DEBE8FD8339732A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:pj/bfJ52pZjXEr4R4T4jiL59LKLEJOYJ7tWbiwX:pzY9ia

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:135939:klKFBg1kLGF52AGBwAhUboCpE8khIQwPSiofLU0MAAApCogIBIBmg2UAHAIQfmUkOABkEsEZQySlCg1a0NmCkjgHEAUxipwE

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:ff00007fc0ffff78
Perceptual Hash:c834c9b5c895cabd
Difference Hash:a4f9f1f1090ca2b1
Wavelet Hash:ff00003900ffff78
Color Hash:#1f8293

Scan History

Scan history not available

Unable to load historical scan data