Security Scan Report: townofvernonny.gov

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Submitted: Nov 24, 2025, 1:37:59 PMCompleted: Nov 24, 2025, 1:40:39 PMpubliccompleted
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Summary

This website contacted 11 IPs in 2 countries across 6 domains to perform 70 HTTP transactions. The main domain is townofvernonny.gov and was registered NaN years ago.

Submitted URL: https://townofvernonny.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no suspicious activity and appears to be a legitimate government website.

Safety Factors
Official .gov domain
No malicious Indicators of Compromise
No credential or payment forms
Content appears consistent with a legitimate town website
Domain age information unavailable

Details

Page Title

Vernon, NY

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(76%)

Domain Information

You're looking at domain 'townofvernonny.gov' on the United States government-restricted top-level domain (.gov) and has no subdomain. The registrable portion 'townofvernonny' spans 14 characters containing 4 vowels alongside ten consonants. Breaking it apart gives 4 words: town, of, vernon, ny. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://townofvernonny.gov/

Page Load Overview

3.69s
Total Load Time
70
HTTP Requests
6
Domains
1.7 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:4,900 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service76% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
76%
technology software
63%
education learning
61%
documentation technical
55%
adult content
52%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4438.83.60.77Reston, Virginia, United States
AS174COGENT-174
1154.212.5.191Boardman, Oregon, United States
AS16509AMAZON-02
10216.239.32.36United States
AS15169GOOGLE
6216.239.34.36United States
AS15169GOOGLE
6142.250.185.136United States
AS15169GOOGLE
62a00:1450:4001:828::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
62a00:1450:4001:813::2008Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
62001:4860:4802:32::36United States
AS15169GOOGLE
62001:4860:4802:34::36United States
AS15169GOOGLE
4142.250.184.232United States
AS15169GOOGLE
7011--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11AB3F9B985A0703DA24B83F1A1647329B783920BDF179D8532FC13A48F86FD62D6716C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:5Ukx6SI9tAqXkxtAqXaNsBgadY6DzmtbVR6CQtAqXqg:hcwMg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:114022:AgEAABDBipTQJzMlm7DEwFDqUAgXgI5Y2hYAuDAKYBQiCFQCoHYNyCRQkBCCMAMjEMAEQgFAAAUSCAGgwhUpgU8ECgZhiQGB

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:020000003c3801ff
Perceptual Hash:8f74b515d52dd424
Difference Hash:ce696d61e0e16367
Wavelet Hash:020035397f3f11ff
Color Hash:#1f9369

Scan History

Scan history not available

Unable to load historical scan data