Security Scan Report: rfmu.org

Site favicon
Submitted: Aug 11, 2026, 1:52:38 PMCompleted: Aug 11, 2026, 1:53:53 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is rfmu.org and was registered NaN years ago.

Submitted URL: https://rfmu.org/378/Voter-Registration

AI Security Verdict

Safe Website

Confidence: 94%

0
Risk Score

The site appears to be a legitimate government voter registration page with no malicious indicators.

Safety Factors
Established government domain
Physical address provided
Clear informational content about voter registration
No external malicious resources
Domain age information unavailable

Details

Page Title

Voter Registration | River Falls, WI - Official Website

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(45%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'rfmu.org' is registered without a subdomain. The registrable portion 'rfmu' spans 4 characters containing 1 vowel alongside three consonants. It segments into two words: rf, mu. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rfmu.org/378/Voter-Registration

Page Load Overview

3.70s
Total Load Time
72
HTTP Requests
10
Domains
2.2 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
Text Length:5,752 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service45% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
45%
documentation technical
31%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
72192.196.0.161United States
AS393775IP Pathways, LLC
721--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10BA33BE0E78C1037802321D9F1776798A43AD572EA0A4C59FCBD85B06FE1CE4E9751BA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jZePcA45rYbkA2toEBpxis9mPVrvkqSHHpdm5gVzLW5BSapfBWqR3gN:jX+DKBpF9O5BPM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:106944:KFK1SBKQECFAQGVgJmxiAEIDKOISjCAjAFaQzcPFJCBnmKgISqEmBS0z0UBgQCSAokBVQhVilhGgypUmIiFCQIBOgFVYhEQU

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc939365
Difference Hash:0018181616000000
Wavelet Hash:f0d0c0c0c0fcfcfc
Color Hash:#7d6ce0

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data