Security Scan Report: michedcu.org

Redirected to:
https://www.michedcu.org/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 78 IPs in 2 countries across 40 domains to perform 183 HTTP transactions. The main domain is michedcu.org and was registered 27 years ago.

Submitted URL: https://michedcu.org

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

AI Security Verdict

Safe Website

Confidence: 93%

1
Risk Score

Established Michigan credit union on a 27-year-old domain matching its own brand. No forms, no impersonation, and all threat-intel, hunting rule and IDS checks are clean; the page actually warns members about debit-card texting scams.

Safety Factors (6)
Well-established domain age (27 years, minimal risk category)
Self-branding consistent with the domain — no impersonation of a third party
Zero credential, password, or payment collection forms
Multiple independent malicious-content checks (threat intel, hunting rule, kit roster, IDS, JS behavior) all clean
Third-party scripts are all well-ranked analytics/accessibility/support vendors (DoubleClick, AudioEye, Glia, etc.)
Physical address and regulatory (NCUA) disclosures present
Domain age information unavailable

Details

Page Title

Michigan Educational CU

Scan Type

public

Domain Name Analysis

You're looking at domain 'michedcu.org' on the non-profit oriented generic top-level domain (.org) without a subdomain. Its registrable label 'michedcu' stretches across 8 characters holding three vowels versus five consonants. Word splitting yields 3 words: mich, edc, u. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://michedcu.org

Page Load Overview

4.31s
Total Load Time
5.1 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:6,941 chars
Detector Agreement:100%

Website Classification

Primary Category

phishing scam38% confidence
Type: spa
Method: ml+structural

All Detected Categories

phishing scam
38%
finance banking
37%
e-commerce shopping
33%
corporate
25%
forum
20%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
29166.117.137.74Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2172.217.117.4Google · CDNUnited States
AS15169Google LLC
2142.251.14.97Google · CDNUnited States
AS15169Google LLC
218.173.205.116Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
299.84.152.44Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
234.8.249.37Google · CDNKansas City, Missouri, United States
AS396982Google LLC
2142.251.157.119Google · CDNUnited States
AS15169Google LLC
2142.250.154.95Google · CDNUnited States
AS15169Google LLC
213.32.121.34Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
218.66.147.109Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
18378--

Detected Technologies14

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T165D4476BC4A9B32832B06E2DE0DC72941B29C0A9F70B15DCBE97861F07DB19747DE614

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:u3ZFJVKy0W2AKMJCc8WC6iiS08mSC6mC8ku2+eixufPHmdZlX8CZ+g1JL7Qq6rD5:eZjn3xufPGdZlX8CZcEje

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:606845:DQQkYE0wQCkAXHAKwcg2aQAK+iBSwQBRiqIRFFIAhwCgcqFAKhoiYCUMCxHPAwM5VBAJClINKBAISMCSQYBAAKKgFGSRLNKF

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:000000ffff7c0001
Perceptual Hash:ca4727d4bad4074b
Difference Hash:c1c1c5bdb9e0d45b
Wavelet Hash:200030fffffcfc01
Color Hash:#931f3c

Scan History

Scan history not available

Unable to load historical scan data