Security Scan Report: theinvestors-podcast.com

Redirected to: https://theinvestors-podcast.com/richer-wiser-happier/a-soulful-path-to-stellar-returns-w-nima-shayegh/

Submitted: Jan 21, 2026, 3:16:56 PMCompleted: Jan 21, 2026, 3:18:31 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 33 HTTP transactions. The main domain is theinvestors-podcast.com and was registered NaN years ago.

Submitted URL: http://theinvestors-podcast.com/richer-wiser-happier/a-soulful-path-to-stellar-returns-w-nima-shayegh/

Effective URL: https://theinvestors-podcast.com/richer-wiser-happier/a-soulful-path-to-stellar-returns-w-nima-shayegh/Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Confirmed phishing site; do not submit credentials.

Risk Factors
Hidden password field (credential harvesting)
Login form on a domain registered <7 days ago
Unranked, brand‑new domain used for financial‑themed content
Domain age information unavailable

Details

Page Title

A Soulful Path To Stellar Returns | The Investor's Podcast Network

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(72%)

Domain Information

You're looking at domain 'theinvestors-podcast.com' on the commercial generic top-level domain (.com) while skipping any subdomain. The second-level label 'theinvestors-podcast' is 20 characters long with six vowels and 13 consonants, plus one hyphen. Word splitting yields 3 words: the, investors, podcast. Median word length is seven characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://theinvestors-podcast.com/richer-wiser-happier/a-soulful-path-to-stellar-returns-w-nima-shayegh/

Page Load Overview

0.54s
Total Load Time
15
HTTP Requests
2
Domains
837 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-US
Text Length:10,444 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning72% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
72%
corporate business
61%
real estate property
45%
news/blog
20%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
7207.154.232.109Frankfurt am Main, Hesse, Germany
AS14061DIGITALOCEAN-ASN
152--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T198B43BB2954000B9B3670758D1C87B5CAF27D683F7430BD574A8E1EB92C5FAEDAA1348

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:Ba3XjNJaa3Xj3Oa3Xjb5diqko0KW5B+uy0ZD:I5Iqko0KWrO6D

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:535018:1FBQiABpBgAYICEhFABEDkjCABABoKAJw6RATgYxBAYQQRMAUcQICThEBCCGdaJJIDRMKhABBayBgJw5WAhCMUBCQikUCBAQ

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:ff00ffffc3c3c3c3
Perceptual Hash:bcc3c32dbd83c328
Difference Hash:82b3711606161616
Wavelet Hash:ff0059c3c3c3c3c3
Color Hash:#2dd264

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data