Security Scan Report: johnofgod-brazil.com

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Submitted: Completed: publiccompleted
This website contacted 18 IPs in 2 countries across 14 domains to perform 72 HTTP transactions. The main domain is johnofgod-brazil.com and was registered 19 years ago.

Submitted URL: https://johnofgod-brazil.com

AI Security Verdict

Moderate Risk

Confidence: 62%

4
Risk Score

Long-standing self-branded John of God tour site with standard analytics and no credential or payment forms, but it makes unproven cancer-cure claims and uses a personal Gmail contact — treat health claims skeptically.

Risk Factors (3)
Unproven medical claims, including an 'alternative cure for Cancer' assertion for a spiritual healing practice
Use of a personal Gmail address for a commercial tour business instead of a domain-branded contact
Payment/bookings handled through separate pages not verified in this scan
Safety Factors (5)
Well-established domain (19 years old, registered 2007)
Self-branding matches the domain; no impersonation of another brand
No credential-harvesting or payment fields on the page
No threat-intelligence, hunting rule, IDS, or malicious JavaScript findings
Third-party requests limited to common analytics/advertising/video services
Domain age information unavailable

Details

Page Title

John of God Brazil Guided Healing Groups Abadiania Casa de Dom Inacio

Scan Type

public

Domain Name Analysis

The domain name 'johnofgod-brazil.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The core label 'johnofgod-brazil' covers 16 characters with 5 vowels and ten consonants; bonus characters include 1 hyphen. It segments into 4 words: john, of, god, brazil. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

© John of God - Brazil Guided Groups e Guyer) GROUPS Disrarir rletins VOURSUID=s Contact Orit) O7 Gow For Anita's New Healing Journeys in Brazil Click Here Download Booking Form Payments & Boo...

Page Load Overview

1.29s
Total Load Time
1.9 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:56%
Script:Latin
Direction:ltr

Detection Details

Text Length:18,929 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical79% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
79%
news media journalism
79%
blog personal website
75%
adult content
69%
government public service
53%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
462.182.19.230United Kingdom
AS200083Sub 6 Limited
4192.178.183.95Google · CDNUnited States
AS15169Google LLC
4192.178.183.102Google · CDNUnited States
AS15169Google LLC
4142.251.153.4Google · CDNUnited States
AS15169Google LLC
4192.178.183.101Google · CDNUnited States
AS15169Google LLC
4142.251.150.4Google · CDNUnited States
AS15169Google LLC
4192.178.183.113Google · CDNUnited States
AS15169Google LLC
4142.251.156.4Google · CDNUnited States
AS15169Google LLC
4142.251.157.4Google · CDNUnited States
AS15169Google LLC
4142.251.152.4Google · CDNUnited States
AS15169Google LLC
7218--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12223F913876D163A00724196F0AA319AE32FCE7CEB65CC95B0AF802437C4DF569766ED

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:U1/x96Gz5TAs0BVupm/16/cihyWtejVxsKYl5Hw54Qxm0sZAb:w/x96Gz5TAs0BVupm4d6sJ524msZAb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:48073:EBgFVCgSC08kAoGELgz0BGDkIFhCrAYQKDYMAR5e0AsAxCeiioaWCEsFEKoAYlAAEZChqIgFtaEQYrlABBK+DAwCCV0Y4AnC

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

Unable to load historical scan data