Security Scan Report: rivervalleyfirst.org

Redirected to:
https://www.rivervalleyfirst.org/
Site favicon
Submitted: Aug 8, 2026, 4:49:21 PMCompleted: Aug 8, 2026, 4:51:19 PMpubliccompleted

Summary

This website contacted 7 IPs in 1 country across 8 domains to perform 5 HTTP transactions. The main domain is rivervalleyfirst.org and was registered NaN years ago.

Submitted URL: http://rivervalleyfirst.org/

Effective URL: https://www.rivervalleyfirst.org/Redirected

AI Security Verdict

Low Risk

Confidence: 80%

3
Risk Score

High risk due to brand impersonation on a brand‑new, unranked domain despite lack of forms.

Risk Factors
Newly registered domain (<7 days)
Brand impersonation on mismatched domain
Unranked / low reputation domain
Safety Factors
Physical address and phone number displayed
Legal information and NCUA insurance statement present
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 7 to 3
Domain age information unavailable

Details

Page Title

River Valley Credit Union | Local Bank in Michigan

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(80%)

Domain Information

The domain 'rivervalleyfirst.org' uses the non-profit oriented generic top-level domain (.org). The registrable portion 'rivervalleyfirst' spans 16 characters holding 5 vowels versus eleven consonants. Tokenizing the label suggests 3 words: river, valley, first. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://rivervalleyfirst.org/

Page Load Overview

22.52s
Total Load Time
142
HTTP Requests
9
Domains
1.5 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:4,740 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking80% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
80%
technology software
56%
government public service
56%
download file sharing
36%
documentation technical
26%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2234.149.206.255Google · CDNKansas City, Missouri, United States
AS396982Google LLC
2034.49.229.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
20151.101.2.217Fastly · CDNUnited States
AS54113Fastly, Inc.
2032.193.28.12Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
20185.230.63.107Ashburn, Virginia, United States
AS58182Wix.com Ltd.
2065.8.131.125Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2034.149.87.45Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1427--

Page Statistics

142
Requests
9
Unique Domains
1.5 MB
Total Size

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T129C47D71A305283D899F41DD77A7BA0832606111CE42053BF9FCB27A1BD6DF9329376A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:ndzvpldmXWrPERYWFucVVKASQEQQcEBBDw:ndVmW7mpJSASQEQEDw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:556640:UCooHCEQkg+CiQCqgegzAZDg0wAB5oApiCgYqdYQDjEJLHSAA0AFZpgQAQZ2IClJgmAAHBVo7CFEQagQICUdBgsFECOBJgYg

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:400000000000ffff
Perceptual Hash:ea40e169c1eb43f5
Difference Hash:97996101c9030f00
Wavelet Hash:ff4101010181ffff
Color Hash:#6f1f93

Scan History

Scan history not available

Unable to load historical scan data