Security Scan Report: avon-ny.gov

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Submitted: Dec 8, 2025, 11:08:36 AMCompleted: Dec 8, 2025, 11:10:43 AMpubliccompleted
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Summary

This website contacted 11 IPs in 3 countries across 5 domains to perform 70 HTTP transactions. The main domain is avon-ny.gov and was registered NaN years ago.

Submitted URL: https://avon-ny.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official .gov domain
Domain age 264 days indicating established presence
Clear municipal contact information and legitimate content
Domain age information unavailable

Details

Page Title

The Town & Village of Avon, NY

Scan Type

public

Language

🇺🇸

English

(55% confidence)

Category

government

(48%)

Domain Information

The domain 'avon-ny.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. Count 7 characters in 'avon-ny' with two vowels and four consonants; bonus characters include one hyphen. Segmentation suggests two words: avon, ny. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://avon-ny.gov/

Page Load Overview

101.47s
Total Load Time
70
HTTP Requests
5
Domains
8.6 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:55%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:55%
Script Type:Latin
Text Length:1,851 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government
48%
travel tourism
25%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6142.251.140.170United States
AS15169GOOGLE
6142.250.184.195United States
AS15169GOOGLE
6192.185.78.65United States
AS19871NETWORK-SOLUTIONS-HOSTING
6142.250.178.202United States
AS15169GOOGLE
613.226.247.67United States
AS16509AMAZON-02
62a00:1450:4001:82a::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
613.226.247.18United States
AS16509AMAZON-02
62a00:1450:400a:1009::5fZurich, Zurich, Switzerland
AS15169GOOGLE
613.226.247.220United States
AS16509AMAZON-02
62a00:1450:4001:804::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
7011--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F782613114EA10771283D1C0F6626B4EAF81D667DD22284AF2FD4BB58FA2D85DC2707E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:/w7geD5/17ILIKxH3Pu7CHJuz3LEanECPYAMP48i:BfobpXv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18067:KS4SiUqpDBAIAFAIkzlchkoOsBMKULBABvYBrAHUSAWRM+YNIBADQCBEpMghzREmYiROBoFOmFZQrBCxQj0IEEihECRzOCyU

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:fff9e87c001800ff
Perceptual Hash:e9c5be14b612bc16
Difference Hash:94d2dbd8f133d93b
Wavelet Hash:fff9687c001800ff
Color Hash:#3a7878

Scan History

Scan history not available

Unable to load historical scan data