Security Scan Report: www.villageoffredoniany.gov

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Submitted: Completed: publiccompleted
This website contacted 74 IPs in 2 countries across 15 domains to perform 213 HTTP transactions. The main domain is villageoffredoniany.gov and was registered 2 years 3 months ago.

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

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Legitimate government site; minor redirect concern but no active threats.

Risk Factors (1)
Circular redirect detected, indicating possible URL manipulation
Safety Factors (4)
Official .gov domain
Domain age > 1 year
No login, payment, or sensitive data collection forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Home | Village Of Fredonia New York

Scan Type

public

Domain Name Analysis

The domain 'www.villageoffredoniany.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'www'. The registrable portion 'villageoffredoniany' spans 19 characters holding eight vowels versus eleven consonants. Tokenizing the label suggests 4 words: village, of, fredonia, ny. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

VILLAGE OF FREDONIA, NY STORY OFFICIALS & DEPARTMENTS LEGAL DOCUMENTS EVENTS MINUTES BUDGET PLANNING & SE K 1 a ,

Page Load Overview

0.90s
Total Load Time
7.3 MB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:31,551 chars
Detector Agreement:100%

Website Classification

Primary Category

government95% confidence
Type: static
Method: structural

All Detected Categories

government
95%
corporate
50%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12434.49.229.81Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
67104.21.34.206United States
AS13335CLOUDFLARENET
3265.8.131.55United States
AS16509AMAZON-02
14172.67.169.95United States
AS13335CLOUDFLARENET
1034.225.248.69Ashburn, Virginia, United States
AS14618AMAZON-AES
8216.58.206.42United States
AS15169GOOGLE
734.149.206.255Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
3172.67.208.98United States
AS13335CLOUDFLARENET
334.149.87.45Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
23.221.75.61Ashburn, Virginia, United States
AS14618AMAZON-AES
21374--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T145155BA1A7042C3E9A4B60BDB3A6BA0D32106111CF56493DFDFCA1791BC79F523D760A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:aEmko1D9K7yhWlYZMElhOkAiAmtuMHrF7Url0TezSQXscEAaQFShFw:Tmh1ZK7Ul7u6QXxYhFw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:924972:DTaLEC8YhIgixKJwEu4WVTQ4rIhJAGRkIgWgsXQ2CDQHCJAgCg0AYG0gZWsQCAoCWChSkAoIUJtMFiFOMABVRpBVwSycCapi

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:00f9ffffffffcc05
Perceptual Hash:ea4f224e2e4e276a
Difference Hash:e3c31b2c3120191d
Wavelet Hash:00f0e1fffff88005
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data