Security Scan Report: getpodcast.com

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Submitted: Oct 27, 2025, 10:55:15 AMCompleted: Oct 27, 2025, 10:55:51 AMpubliccompleted
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Summary

This website contacted 39 IPs in 3 countries across 6 domains to perform 135 HTTP transactions. The main domain is getpodcast.com and was registered NaN years ago.

Submitted URL: https://getpodcast.com/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate podcast directory with no detected security issues.

Safety Factors
Established domain age
No malicious Indicators of Compromise
Absence of login or payment collection forms
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

GetPodcast | Listen to Podcasts for free

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

other

(66%)

Domain Information

Within the commercial generic top-level domain (.com), 'getpodcast.com' is registered. Its registrable label 'getpodcast' stretches across 10 characters containing three vowels alongside seven consonants. Word splitting yields two words: get, podcast. Average segment length settles at 5 characters. 'get' most strongly signals Chinese (Pinyin). You will also see it in English and Malay contexts. Overall, 'getpodcast.com' reads as Chinese (Pinyin).

Screenshot

Security scan screenshot of https://getpodcast.com/

Page Load Overview

14.19s
Total Load Time
135
HTTP Requests
6
Domains
830 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:9,975 chars
Detector Agreement:100%

Website Classification

Primary Category

other66% confidence
Type: spa
Method: ml+structural

All Detected Categories

other
66%
legitimate website
47%
malicious
38%
e-commerce
27%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2118.200.141.198Dublin, Leinster, Ireland
AS16509AMAZON-02
399.84.152.110United States
AS16509AMAZON-02
354.76.180.49Dublin, Leinster, Ireland
AS16509AMAZON-02
3104.16.80.73United States
AS13335CLOUDFLARENET
3172.67.69.91United States
AS13335CLOUDFLARENET
3104.26.6.58United States
AS13335CLOUDFLARENET
3104.26.7.58United States
AS13335CLOUDFLARENET
3172.67.72.120United States
AS13335CLOUDFLARENET
399.84.152.127United States
AS16509AMAZON-02
399.84.152.57United States
AS16509AMAZON-02
13539--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T168E30A3742082E7E2E1281C5E66F3ADE531671EA8241D644BDBCCEB43366F6E91714CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:JHoEAPbTN6H6zRVydYFLV7AibqhclFlzXNxyB4hBGQA/ADhJEWx/jZ:JORwYFLshclFlzXNxyB4htV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:145573:QgAALBBWICJESkOIyJGrOKikAMwAXaCRkgwnkBRDORgYEIxRTgBxEslCdWRHAJgBAgDh3wVKPyUQBDhgL0DEmIQGE6EGUUFS

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:10081810ffffffe7
Perceptual Hash:9a0cb1e524cee1f3
Difference Hash:3739796147008e8e
Wavelet Hash:00001810ffffffc7
Color Hash:#9479d2

Scan History

Scan history not available

Unable to load historical scan data