Security Scan Report: www.villageoffredoniany.gov

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Submitted: Oct 28, 2025, 6:28:25 AMCompleted: Oct 28, 2025, 6:29:57 AMpubliccompleted
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Summary

This website contacted 71 IPs in 2 countries across 14 domains to perform 175 HTTP transactions. The main domain is villageoffredoniany.gov and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears to be a legitimate municipal website with no security concerns.

Safety Factors
Official government domain (.gov)
Publicly accessible information only
Domain age information unavailable

Details

Page Title

Home | Village Of Fredonia New York

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

You're looking at domain 'www.villageoffredoniany.gov' on the United States government-restricted top-level domain (.gov), featuring subdomain 'www'. The registrable portion 'villageoffredoniany' spans 19 characters containing 8 vowels alongside 11 consonants. Splitting it apart reveals 4 words: village, of, fredonia, ny. Average segment length settles at 4.5 characters. 'village' most strongly signals Chinese (Pinyin). You will also see it in English and Malay contexts.

Screenshot

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

Page Load Overview

50.15s
Total Load Time
175
HTTP Requests
14
Domains
2.6 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
Text Length:30,604 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: static
Method: ml+structural

All Detected Categories

government
48%
documentation technical
30%
government public service
27%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
35142.250.185.138United States
AS15169GOOGLE
234.149.87.45Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
2104.21.34.206United States
AS13335CLOUDFLARENET
2151.101.66.217San Francisco, California, United States
AS54113FASTLY
234.149.206.255Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
2172.67.169.95United States
AS13335CLOUDFLARENET
234.202.157.126Ashburn, Virginia, United States
AS14618AMAZON-AES
2142.250.185.202United States
AS15169GOOGLE
2104.17.24.14United States
AS13335CLOUDFLARENET
2151.101.194.217San Francisco, California, United States
AS54113FASTLY
17571--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F124D6A6E60D1E2FB11780E5F5B6C726B181C925CF1658348EAC93B617C9CF273C960E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:+7cBAexMdVqIe7UOeZP+eSoeOAcIsOgZSeneSrVeqY8FeeDY8dee9eFweeeeiee0:+UyZPwwVr4rOA7CJCO3v39

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:221409:5BgSRgjHs8AUCUiAgGpIekDAWkgmZWg0AERggDHcJQGpAoAEQVJBCKMYQARM/AIC4M0RoSAiuMEipoQQPueBKVKUIAFFEPTA

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:f7ffff9c00002f00
Perceptual Hash:bbe4a727528127c6
Difference Hash:cf0f3331355f4e0d
Wavelet Hash:f7ffff8c00003f00
Color Hash:#d2bf2d

Scan History

Scan history not available

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