Security Scan Report: hayrivertownship.gov

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Submitted: Dec 23, 2025, 8:16:43 PMCompleted: Dec 23, 2025, 8:17:41 PMpubliccompleted
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Summary

This website contacted 16 IPs in 2 countries across 9 domains to perform 68 HTTP transactions. The main domain is hayrivertownship.gov and was registered NaN years ago.

Submitted URL: https://hayrivertownship.gov/

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The site shows no security concerns and appears legitimate.

Safety Factors
Government (.gov) domain
Established domain (> 2 years)
No credential or payment collection forms
No malicious Indicators of Compromise
No suspicious redirects or URL manipulation
Domain age information unavailable

Details

Page Title

Town of Hay River – Town of Hay River in Dunn County, Wisconsin

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(51%)

Domain Information

Domain 'hayrivertownship.gov' uses the United States government-restricted top-level domain (.gov). The second-level label 'hayrivertownship' is 16 characters long containing five vowels alongside 11 consonants. Segmentation suggests 3 words: hay, river, township. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

3.80s
Total Load Time
68
HTTP Requests
9
Domains
1.2 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:2,202 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service51% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
51%
government
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8142.250.184.200United States
AS15169GOOGLE
4188.114.96.3United States
AS13335CLOUDFLARENET
4151.101.193.229United States
AS54113FASTLY
444.236.42.2Boardman, Oregon, United States
AS16509AMAZON-02
452.11.192.57Boardman, Oregon, United States
AS16509AMAZON-02
4151.101.129.229United States
AS54113FASTLY
4188.114.97.3United States
AS13335CLOUDFLARENET
4172.67.207.213United States
AS13335CLOUDFLARENET
4142.250.184.234United States
AS15169GOOGLE
4104.21.37.116United States
AS13335CLOUDFLARENET
6816--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18A04C8A1017621109B575DC462EA7E2BEA2DE183D56286387BFC02C87FCBD68137770E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Pxypp0YIvzRkTzn1QhCEIIEQ0bk3KXqK2ub87dbzCVVrjeq:Psz0YIvzRkFk3BK2ub87dbzCVVXeq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:189873:KGCggSCKBKKJMCtSWDKlgXrCoBKBABLomIGCiQgImAEKgjGCUKAMIAMgoGC0iCoCAkgM4DogZlBIQANkFglAc0gWsTBmSgMk

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:0000100081ffffff
Perceptual Hash:ca4e94bb6317c34a
Difference Hash:6531e163338934cc
Wavelet Hash:00103080d1ffffff
Color Hash:#6c9ae0

Scan History

Scan history not available

Unable to load historical scan data