ScanMalware.com

Security Scan Report: www.townofeatonny.gov

Submitted: Nov 20, 2025, 2:00:30 PMCompleted: Nov 20, 2025, 2:03:00 PMpubliccompleted
Loading additional data...

Summary

This website contacted 14 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

The site appears legitimate with no security concerns.

Safety Factors
Domain age > 180 days (595 days)
No malicious Indicators of Compromise matches found
No credential or payment forms present
No phishing or brand impersonation indicators
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) and includes subdomain 'www'. The registrable portion 'townofeatonny' spans 13 characters split between 5 vowels and 8 consonants. Word splitting yields 4 words: town, of, eaton, ny. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.00s
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
3142.250.186.131United States
AS15169GOOGLE
2216.239.32.36United States
AS15169GOOGLE
2216.58.206.72United States
AS15169GOOGLE
2142.250.185.131United States
AS15169GOOGLE
2142.250.185.202United States
AS15169GOOGLE
22001:4860:4802:34::36United States
AS15169GOOGLE
22001:4860:4802:32::36United States
AS15169GOOGLE
22a00:1450:4001:81d::2008Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
2216.239.34.36United States
AS15169GOOGLE
3414--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T196D2E74258F19023421312C6B8A5773BEB96915BDE030640F7ECD6CA5FCBD1A986B2BD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Lx0caRvbHVeQTQ9PPWF8Xu7eD9skYqreX:Lx0caRzOP68ZYP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:29086:ShaFFCIQAwAUqACQexEfEhhAQBpCgADPR0AWTyG5jFAMREoM4gIEiBgtQ8DARAKkEThuFiSKCbQ8CilEAJoAGEGgKJ8jOgQw

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:#d2798c

Other Hashes

Crop Resistant:72626c6cfcbf3f37,1b87a1f0eeeffe4c,a26fd99216c26f3f,35c9cba78fafdba7,3566e2f8a9bbf351

Scan History

Scan history not available

Unable to load historical scan data