Security Scan Report: oysterbaytown.com

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Submitted: Oct 20, 2025, 9:52:57 PMCompleted: Oct 20, 2025, 9:54:02 PMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 3 domains to perform 100 HTTP transactions. The main domain is oysterbaytown.com and was registered NaN years ago.

Submitted URL: https://oysterbaytown.com/

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Established domain age (>24 years)
Government entity (Town of Oyster Bay) with transparent contact information
No suspicious redirects or external links
Standard informational website without data collection forms
Domain age information unavailable

Details

Page Title

Town of Oyster Bay – Town of Oyster Bay

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(82%)

Domain Information

Domain 'oysterbaytown.com' uses the commercial generic top-level domain (.com) and has no subdomain. Count 13 characters in 'oysterbaytown' holding four vowels versus 9 consonants. Splitting it apart reveals two words: oyster, baytown. Median word length comes out to 6.5 characters. Most frequently, 'oyster' shows up in French. You may catch it in Sinhala and Catalan as well. Net impression: French phrase.

Screenshot

Security scan screenshot of https://oysterbaytown.com/

Page Load Overview

36.06s
Total Load Time
100
HTTP Requests
3
Domains
38.7 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:5,914 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service82% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
82%
news/blog
20%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20151.101.66.159San Francisco, California, United States
AS54113FASTLY
20142.250.185.234United States
AS15169GOOGLE
20142.250.186.99United States
AS15169GOOGLE
202a00:1450:4001:81d::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
202a00:1450:4001:811::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
1005--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AB04A7628406942F0B5372CCD164FF98E9DA821AD78301AFE3FA526CC3CFF65615A56C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:bJqXg7u7keuUu4MTMSqghJb6eljsdr/UVvdvq7YvFEsIzmS+p5JZ1Ue5+08KaIIX:bJYlu4SqghJb6eljsdr/UVvdvq7cFXJo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:174909:AAABCDAGRQBzhZlAgl9AAWYALSWVGEAgEToQDFgBEBUECMlGCR6AFFzIAAICtQO0VNaxZSAidEgCMhBjFgIB5hozhAQukoDs

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:ffff0000000003ff
Perceptual Hash:aa9cf40edc3c1b19
Difference Hash:20bd5b6777c94b0c
Wavelet Hash:ffff00000000ffff
Color Hash:#53ac8d

Other Hashes

Scan History

Scan history not available

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