Security Scan Report: www.townofaftonny.gov

Submitted: Oct 10, 2025, 12:22:05 PMCompleted: Oct 10, 2025, 12:23:11 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 8 HTTP transactions. The main domain is townofaftonny.gov and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate government site with no security concerns.

Safety Factors
Official government domain
Provides public meeting information
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

Afton, New York

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

government

(95%)

Domain Information

The domain 'www.townofaftonny.gov' uses the United States government-restricted top-level domain (.gov) and includes subdomain 'www'. The registrable portion 'townofaftonny' spans 13 characters holding 4 vowels versus 9 consonants. Tokenizing the label suggests four words: town, of, afton, ny. Median word length comes out to three characters. 'town' most strongly signals Chinese (Pinyin). Usage also turns up in English and Swedish contexts.

Screenshot

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

Page Load Overview

42.37s
Total Load Time
8
HTTP Requests
1
Domains
49 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:4,143 chars
Detector Agreement:100%

Website Classification

Primary Category

government95% confidence
Type: static
Method: structural

All Detected Categories

government
95%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
867.222.135.108United States
AS30277DFW-DATACENTER
81--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FB22FC17268512370B928588AD35EBAED73380B7C7493E03F459895E9B41E5B8CB36CF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:MMSKqBc30aOcKncyU3ycIB7QzQbQgEQZcgQC4XK3XQc2w8A8VREAr88KenY/qLO6:3qBo0VcecyoycIBZU6dXoA8Vrr88KYY6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10871:ABBJEAIkSXRDOJQOeiAeiBBAoykgBIEMIZQDqBEIc4gFaLKoV0BAyGOwkVUAslVGCrJiwDGsAAAgsmQEyNqohmqIDPRAOAAg

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:00ffe988fdffffff
Perceptual Hash:fa7b15151a4a4b63
Difference Hash:6917096959780900
Wavelet Hash:00e1a00081ffffff
Color Hash:#59931f

Scan History

Scan history not available

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