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Security Scan Report: townofwayneny.gov

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Submitted: Oct 31, 2025, 10:57:20 PMCompleted: Oct 31, 2025, 10:58:35 PMpubliccompleted
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Summary

This website contacted 27 IPs in 2 countries across 6 domains to perform 20 HTTP transactions. The main domain is townofwayneny.gov and was registered NaN years ago.

Submitted URL: https://townofwayneny.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official government domain with contact information
No credential or payment collection fields
No external links to suspicious domains
Domain age information unavailable

Details

Page Title

Town of Wayne - Wayne, NY New York

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(67%)

Domain Information

The domain 'townofwayneny.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. The second-level label 'townofwayneny' is 13 characters long with four vowels and nine consonants. Segmentation suggests 4 words: town, of, wayne, ny. Median word length comes out to three characters. 'town' most often appears in Chinese (Pinyin). Secondary signals appear in English and Dutch.

Screenshot

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

Page Load Overview

19.69s
Total Load Time
20
HTTP Requests
6
Domains
1017 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:1,433 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service67% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
67%
technology software
58%
government
48%
documentation technical
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20216.239.38.178United States
AS15169GOOGLE
0104.18.11.207United States
AS13335CLOUDFLARENET
0142.250.186.136United States
AS15169GOOGLE
0104.18.10.207United States
AS13335CLOUDFLARENET
072.52.140.63United States
AS32244LIQUIDWEB
0151.101.130.137San Francisco, California, United States
AS54113FASTLY
0216.239.32.36United States
AS15169GOOGLE
0216.239.34.178United States
AS15169GOOGLE
0151.101.66.137San Francisco, California, United States
AS54113FASTLY
0151.101.2.137San Francisco, California, United States
AS54113FASTLY
2027--

Detected Technologies3

JQueryv3.6.0
100%
Google Analytics
55%
jQuery CDN
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B0424326B494113782AF97CA1A24B75B7AE3859FCE574D0132FC5B895FCBE4ACC1600B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ZChfB/nLBHSjS7lfNy1BWsw7Pe4RWJy978uoybMniR:ZClRLWSqMsKPeuXoybM2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12278:MrUAgAAwikwCGiIj2YMYjJgI6XQgY8AADIAadDSwCTAMBKAcAAKhBIGyYQEA0oBVwAOAEBycRgViRQkBIJRZABRAQKZnIQow

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:3f01010000ffffff
Perceptual Hash:ad0f87d370f0c07c
Difference Hash:736b23b311e12a29
Wavelet Hash:3f01010000ffffff
Color Hash:#40bfae

Other Hashes

Crop Resistant:736b23b311e12a29,7b6b6323a33318b2

Scan History

Scan history not available

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