Security Scan Report: www.townofeatonny.gov

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Submitted: Dec 7, 2025, 10:49:54 AMCompleted: Dec 7, 2025, 10:51:08 AMpubliccompleted
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Summary

This website contacted 12 IPs in 2 countries across 5 domains to perform 34 HTTP transactions. The main domain is townofeatonny.gov and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Official government domain (townofeatonny.gov)
Clear contact information and address
Standard search form only
Domain age information unavailable

Details

Page Title

Eaton, New York Home Page | Eaton New York

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(71%)

Domain Information

The domain name 'www.townofeatonny.gov' uses the United States government-restricted top-level domain (.gov), featuring subdomain 'www'. Its registrable label 'townofeatonny' stretches across 13 characters with 5 vowels and eight consonants. Word splitting yields 4 words: town, of, eaton, ny. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.03s
Total Load Time
34
HTTP Requests
5
Domains
817 KB
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:1,247 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

government public service
71%
government
48%
social media network
33%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
27162.221.183.17Buffalo, New York, United States
AS16509AMAZON-02
12142.250.185.227United States
AS15169GOOGLE
3216.58.212.131United States
AS15169GOOGLE
2216.239.34.36United States
AS15169GOOGLE
22a00:1450:4001:82b::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
22001:4860:4802:34::36United States
AS15169GOOGLE
2216.239.32.36United States
AS15169GOOGLE
22a00:1450:4001:81c::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
22001:4860:4802:32::36United States
AS15169GOOGLE
22a00:1450:4001:830::2008Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
3412--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13DD2D64358F19023421312C6B8A5773BEB96915BDE030640F7ECD6CA5FCBD1A986B2BD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:hx0caRvbHVHQTQ9PPWF8Xu7eD9skYqReA:hx0caRzXP68ZYi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:29030:MkYVGCgAPoLieBlgcQg+EUCBC0YImS6fXAgEtjhmAAaQQQKMAJaWVQlcQKFworIWhOlwGJQBnEGMKDAQANCEN8GyisIUfCBQ

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:bfff80303c010100
Perceptual Hash:8e9ebd8a4e2c7618
Difference Hash:707d0662f9abf351
Wavelet Hash:bfffb7303c430300
Color Hash:#40bf80

Scan History

Scan history not available

Unable to load historical scan data