Security Scan Report: theinvestors-podcast.com

Redirected to: https://theinvestors-podcast.com/we-study-billionaires/

Submitted: Jan 23, 2026, 6:02:43 AMCompleted: Jan 23, 2026, 6:04:19 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 41 HTTP transactions. The main domain is theinvestors-podcast.com and was registered NaN years ago.

Submitted URL: http://theinvestors-podcast.com/we-study-billionaires/

Effective URL: https://theinvestors-podcast.com/we-study-billionaires/Redirected

AI Security Verdict

High Risk

Confidence: 92%

10
Risk Score

High‑risk phishing site; do not enter credentials.

Risk Factors
Hidden password field
Very new domain (<30 days) with login form
Unranked/low‑reputation domain
Password field on a newly created site
Domain age information unavailable

Details

Page Title

We Study Billionaires - The Investor's Podcast Network

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(40%)

Domain Information

Domain 'theinvestors-podcast.com' uses the commercial generic top-level domain (.com) and has no subdomain. The core label 'theinvestors-podcast' covers 20 characters split between six vowels and 13 consonants; bonus characters include one hyphen. Tokenizing the label suggests three words: the, investors, podcast. Median word length is 7 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://theinvestors-podcast.com/we-study-billionaires/

Page Load Overview

0.59s
Total Load Time
16
HTTP Requests
2
Domains
964 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:6,067 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog40% confidence
Type: dynamic
Method: structural

All Detected Categories

news/blog
40%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8207.154.232.109Frankfurt am Main, Hesse, Germany
AS14061DIGITALOCEAN-ASN
82.16.168.106Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
162--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10CC418B29500107966A7075CD1C43B6CAF3BDB83FB431BD97098E1DA92C5F9ADBA1348

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:Fa3XjYJSa3XjH7a3XjbtdptApljo1pdPigNA4D:CtbtApljoXxnDD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:564436:kEkDFSxiAAayIIDgAAAxJAGGRwpVgC5IFgASYBgAAZIEhAQOQggBhQAjogMDUQyICIABAKBAsWETBAZYxKAOJAEAwxEAYggC

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:fff7f1f000ffa5ad
Perceptual Hash:eecc931149cb992e
Difference Hash:92272565478c4949
Wavelet Hash:7f9390f000f7a5a5
Color Hash:#e0926c

Scan History

Scan history not available

Unable to load historical scan data