ScanMalware.com

Security Scan Report: spiritualitymeansbusiness.academy

Redirected to:
blob:https://spiritualitymeansbusiness.academy/9b4d9b08-5a58-4df7-9e87...
Submitted: Oct 26, 2025, 7:16:04 PMCompleted: Oct 26, 2025, 7:16:44 PMpubliccompleted
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Summary

This website contacted 17 IPs in 3 countries across 4 domains to perform 8 HTTP transactions. The main domain is .

Submitted URL: https://spiritualitymeansbusiness.academy/wp-admin/cgi-/blob.html

Effective URL: blob:https://spiritualitymeansbusiness.academy/9b4d9b08-5a58-4df7-9e87-51bf849c39deRedirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Phishing site harvesting Intuit credentials; avoid and report.

Risk Factors
Compromised WordPress site used for phishing
Intuit brand impersonation on a low‑reputation, unranked domain
Disguised password fields that appear as normal text inputs
Hidden password fields not visible to the user
Unicode characters in form fields to evade detection
Numerous login forms collecting sensitive credentials
Domain age information unavailable

Details

Page Title

Intuit Account - Sign in

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(75%)

Domain Information

Domain 'spiritualitymeansbusiness.academy' uses the .academy top-level domain with no subdomain. The second-level label 'spiritualitymeansbusiness' is 25 characters long holding 10 vowels versus 15 consonants. It segments into three words: spirituality, means, business. Average segment length settles at eight characters. 'spirituality' most strongly signals English. It also appears in Chinese (Pinyin) and French contexts.

Screenshot

Security scan screenshot of https://spiritualitymeansbusiness.academy/wp-admin/cgi-/blob.html

Page Load Overview

13.37s
Total Load Time
8
HTTP Requests
4
Domains
295 KB
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:1,620 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software75% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
75%
finance banking
26%
government public service
26%
documentation technical
25%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.17.24.14United States
AS13335CLOUDFLARENET
0151.101.66.137San Francisco, California, United States
AS54113FASTLY
0151.101.2.137San Francisco, California, United States
AS54113FASTLY
046.30.213.132Copenhagen, Capital Region, Denmark
AS51468One.com A/S
0142.250.186.138United States
AS15169GOOGLE
02a04:4e42:200::649United States
AS54113FASTLY
02a00:1450:4001:804::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
0151.101.130.137San Francisco, California, United States
AS54113FASTLY
0104.17.25.14United States
AS13335CLOUDFLARENET
0151.101.194.137San Francisco, California, United States
AS54113FASTLY
817--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12AE37C3126F1056EA16788D87BF72B463D985483C505C46437EC8A988FC7CA1DDBA7DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:c5WTwjdeXXrB5hm+Tn2MaTTn2MaTTn2MarZ1u8BKD:rEjdeXXlm+T9aTT9aTT9arfu3D

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:150983:YoIAJIJglE0gSAEiJAAQMEADaBSQro14B0KhoAAkYIhptiiG6IfSgIAB5JMAAADcioDFkRosZsREFEQQATAKCgDDUEgAIGCE

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data