ScanMalware.com

Security Scan Report: www.goenergycu.com

Submitted: Mar 31, 2026, 7:28:52 AMCompleted: Mar 31, 2026, 7:30:27 AMpubliccompleted
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Summary

This website contacted 17 IPs in 2 countries across 18 domains to perform 14 HTTP transactions. The main domain is goenergycu.com and was registered NaN years ago.

Submitted URL: https://www.goenergycu.com/borrow/personal-loans-atlanta

AI Security Verdict

Confirmed Scam

Confidence: 94%

10
Risk Score

Site collects credentials via a hidden password field and exfiltrates them to an external domain; flagged as confirmed phishing.

Risk Factors
Malicious IP indicator associated with the site
Credential harvesting form containing a password field
Cross‑origin submission of credentials to unrelated domain
Hidden password field (type="password" with CSS display:none)
Form action points to online.gemc.org, not the site’s own domain
Domain age information unavailable

Details

Page Title

Personal Loans in Atlanta, Georgia | Go Energy Credit Union

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(39%)

Domain Information

Domain 'www.goenergycu.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Count 10 characters in 'goenergycu' with 4 vowels and six consonants. It segments into 3 words: go, energy, cu. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.goenergycu.com/borrow/personal-loans-atlanta

Page Load Overview

6.37s
Total Load Time
130
HTTP Requests
21
Domains
5.9 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:5,790 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking39% confidence
Type: webapp
Method: ml+structural

All Detected Categories

finance banking
39%
education learning
35%
corporate
25%

Detected Features

Login Form
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1844.194.150.235Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
713.248.186.173United States
AS16509Amazon.com, Inc.
765.8.102.57Germany
AS53831
7151.101.66.137Germany
AS20940
7184.24.77.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
7142.251.20.97United States
AS15169Google LLC
7108.138.2.174Germany
AS14618
7142.251.13.95United States
AS15169Google LLC
73.174.45.215United States
AS16509Amazon.com, Inc.
752.35.42.173Boardman, Oregon, United States
AS16509Amazon.com, Inc.
13017--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T165E32B76D424147B42A3A4E4E2553B1E76D5F327CEC208C4F5AC8EB65FCAEE2191322D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:GVbie/dkJuUxl/IGx6alpmTV3pb/oG9FGflUgPVqR:0A1Lpm9LRR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:156958:oXQAlQCYJyoiDRhKIqCIwNaoBoUHigAUQVF2wQMFCBgpChCQSwICJwGAAAJSQAAWBQiAqQWQLEDIACoBMU9VRIInlkXAEQGM

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:ff7040001fbf3f3e
Perceptual Hash:9761d69b9c2aec60
Difference Hash:a0c0861f7c746974
Wavelet Hash:ff7040000f3fbe1e
Color Hash:#4075bf

Other Hashes

Crop Resistant:a0c0861f7c746974

Scan History

Scan history not available

Unable to load historical scan data