Security Scan Report: townofrussellwi.gov

Submitted: Nov 21, 2025, 5:08:00 AMCompleted: Nov 21, 2025, 5:15:04 AMpubliccompleted
Loading additional data...

Summary

This website contacted 63 IPs in 0 countries across 14 domains to perform 106 HTTP transactions. The main domain is townofrussellwi.gov and was registered NaN years ago.

Submitted URL: https://townofrussellwi.gov/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Town of Russell – Bayfield County, Wisconsin

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(62%)

Domain Information

The domain name 'townofrussellwi.gov' uses the United States government-restricted top-level domain (.gov) without a subdomain. Its registrable label 'townofrussellwi' stretches across 15 characters containing 5 vowels alongside ten consonants. Breaking it apart gives 4 words: town, of, russell, wi. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.80s
Total Load Time
106
HTTP Requests
14
Domains
3.8 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:4,681 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service62% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
62%
government
48%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
69188.114.96.3UnknownUnknown
44142.250.186.170UnknownUnknown
9212.102.56.179UnknownUnknown
6104.21.27.152UnknownUnknown
5146.75.123.52UnknownUnknown
352.42.152.233UnknownUnknown
2151.101.1.229UnknownUnknown
179.127.211.90UnknownUnknown
1142.250.185.168UnknownUnknown
179.127.216.203UnknownUnknown
10663--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BDA4C7C100DB5280B25B4CC5E3CE7E256ADC2295E285D569BBFD588A8FDEC6103F670E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:1EyhMKVUvgIlRGROTEZ1pLPZxtOat/+1EYexkSEV2H:S1lRmZeaj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:453846:UwQAhFqAXCA8oVAIMFAoQeCmglDIIAGQDk0YuQmdAEcxCgCDOAGFkNgZLBsJIADyIQRISGhBYKcAAgqRATsCWXKlEEGgUIqo

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:ff000000001effff
Perceptual Hash:944be5b60ccb96b4
Difference Hash:45d5f1f1b4fc0096
Wavelet Hash:ff00000000ffffff
Color Hash:#1f9321

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data